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Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.

IROS 2024: 14–18 October 2024, ABU DHABI, UAEICSR 2024: 23–26 October 2024, ODENSE, DENMARKCybathlon 2024: 25–27 October 2024, ZURICHHumanoids 2024: 22–24 November 2024, NANCY, FRANCE

Enjoy today’s videos!

Not even ladders can keep you safe from quadruped robots anymore.

[ ETH Zürich Robot Systems Lab ]

Introducing Azi (right), the new desktop robot from Engineered Arts Ltd. Azi and Ameca are having a little chat, demonstrating their wide range of expressive capabilities. Engineered Arts desktop robots feature 32 actuators, 27 for facial control alone, and 5 for the neck. They include AI conversational ability including GPT-4o support which makes them great robotic companions.

[ Engineered Arts ]

Quadruped robots that individual researchers can build by themselves are crucial for expanding the scope of research due to their high scalability and customizability. In this study, we develop a metal quadruped robot MEVIUS, that can be constructed and assembled using only materials ordered through e-commerce. We have considered the minimum set of components required for a quadruped robot, employing metal machining, sheet metal welding, and off-the-shelf components only.

[ MEVIUS from JSK Robotics Laboratory ]

Thanks Kento!

Avian perching maneuvers are one of the most frequent and agile flight scenarios, where highly optimized flight trajectories, produced by rapid wing and tail morphing that generate high angular rates and accelerations, reduce kinetic energy at impact. Here, we use optimal control methods on an avian-inspired drone with morphing wing and tail to test a recent hypothesis derived from perching maneuver experiments of Harris’ hawks that birds minimize the distance flown at high angles of attack to dissipate kinetic energy before impact.

[ EPFL Laboratory of Intelligent Systems ]

The earliest signs of bearing failures are inaudible to you, but not to Spot . Introducing acoustic vibration sensing—Automate ultrasonic inspections of rotating equipment to keep your factory humming.

The only thing I want to know is whether Spot is programmed to actually do that cute little tilt when using its acoustic sensors.

[ Boston Dynamics ]

Hear from Jonathan Hurst, our co-founder and Chief Robot Officer, why legs are ideally suited for Digit’s work.

[ Agility Robotics ]

I don’t think “IP67” really does this justice.

[ ANYbotics ]

This paper presents a teleportation system with floating robotic arms that traverse parallel cables to perform long-distance manipulation. The system benefits from the cable-based infrastructure, which is easy to set up and cost-effective with expandable workspace range.

[ EPFL ]

It seems to be just renderings for now, but here’s the next version of Fourier’s humanoid.

[ Fourier ]

Happy Oktoberfest from Dino Robotics!

[ Dino Robotics ]

This paper introduces a learning-based low-level controller for quadcopters, which adaptively controls quadcopters with significant variations in mass, size, and actuator capabilities. Our approach leverages a combination of imitation learning and reinforcement learning, creating a fast-adapting and general control framework for quadcopters that eliminates the need for precise model estimation or manual tuning.

[ HiPeR Lab ]

Parkour poses a significant challenge for legged robots, requiring navigation through complex environments with agility and precision based on limited sensory inputs. In this work, we introduce a novel method for training end-to-end visual policies, from depth pixels to robot control commands, to achieve agile and safe quadruped locomotion.

[ SoloParkour ]



Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.

IROS 2024: 14–18 October 2024, ABU DHABI, UAEICSR 2024: 23–26 October 2024, ODENSE, DENMARKCybathlon 2024: 25–27 October 2024, ZURICHHumanoids 2024: 22–24 November 2024, NANCY, FRANCE

Enjoy today’s videos!

Not even ladders can keep you safe from quadruped robots anymore.

[ ETH Zürich Robot Systems Lab ]

Introducing Azi (right), the new desktop robot from Engineered Arts Ltd. Azi and Ameca are having a little chat, demonstrating their wide range of expressive capabilities. Engineered Arts desktop robots feature 32 actuators, 27 for facial control alone, and 5 for the neck. They include AI conversational ability including GPT-4o support which makes them great robotic companions.

[ Engineered Arts ]

Quadruped robots that individual researchers can build by themselves are crucial for expanding the scope of research due to their high scalability and customizability. In this study, we develop a metal quadruped robot MEVIUS, that can be constructed and assembled using only materials ordered through e-commerce. We have considered the minimum set of components required for a quadruped robot, employing metal machining, sheet metal welding, and off-the-shelf components only.

[ MEVIUS from JSK Robotics Laboratory ]

Thanks Kento!

Avian perching maneuvers are one of the most frequent and agile flight scenarios, where highly optimized flight trajectories, produced by rapid wing and tail morphing that generate high angular rates and accelerations, reduce kinetic energy at impact. Here, we use optimal control methods on an avian-inspired drone with morphing wing and tail to test a recent hypothesis derived from perching maneuver experiments of Harris’ hawks that birds minimize the distance flown at high angles of attack to dissipate kinetic energy before impact.

[ EPFL Laboratory of Intelligent Systems ]

The earliest signs of bearing failures are inaudible to you, but not to Spot . Introducing acoustic vibration sensing—Automate ultrasonic inspections of rotating equipment to keep your factory humming.

The only thing I want to know is whether Spot is programmed to actually do that cute little tilt when using its acoustic sensors.

[ Boston Dynamics ]

Hear from Jonathan Hurst, our co-founder and Chief Robot Officer, why legs are ideally suited for Digit’s work.

[ Agility Robotics ]

I don’t think “IP67” really does this justice.

[ ANYbotics ]

This paper presents a teleportation system with floating robotic arms that traverse parallel cables to perform long-distance manipulation. The system benefits from the cable-based infrastructure, which is easy to set up and cost-effective with expandable workspace range.

[ EPFL ]

It seems to be just renderings for now, but here’s the next version of Fourier’s humanoid.

[ Fourier ]

Happy Oktoberfest from Dino Robotics!

[ Dino Robotics ]

This paper introduces a learning-based low-level controller for quadcopters, which adaptively controls quadcopters with significant variations in mass, size, and actuator capabilities. Our approach leverages a combination of imitation learning and reinforcement learning, creating a fast-adapting and general control framework for quadcopters that eliminates the need for precise model estimation or manual tuning.

[ HiPeR Lab ]

Parkour poses a significant challenge for legged robots, requiring navigation through complex environments with agility and precision based on limited sensory inputs. In this work, we introduce a novel method for training end-to-end visual policies, from depth pixels to robot control commands, to achieve agile and safe quadruped locomotion.

[ SoloParkour ]



Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.

IROS 2024: 14–18 October 2024, ABU DHABI, UAEICSR 2024: 23–26 October 2024, ODENSE, DENMARKCybathlon 2024: 25–27 October 2024, ZURICHHumanoids 204: 22–24 November 2024, NANCY, FRANCE

Enjoy today’s videos!

The interaction between humans and machines is gaining increasing importance due to the advancing degree of automation. This video showcases the development of robotic systems capable of recognizing and responding to human wishes.

By Jana Jost, Sebastian Hoose, Nils Gramse, Benedikt Pschera, and Jan Emmerich from Fraunhofer IML

[ Fraunhofer IML ]

Humans are capable of continuously manipulating a wide variety of deformable objects into complex shapes, owing largely to our ability to reason about material properties as well as our ability to reason in the presence of geometric occlusion in the object’s state. To study the robotic systems and algorithms capable of deforming volumetric objects, we introduce a novel robotics task of continuously deforming clay on a pottery wheel, and we present a baseline approach for tackling such a task by learning from demonstration.

By Adam Hung, Uksang Yoo, Jonathan Francis, Jean Oh, and Jeffrey Ichnowski from CMU Robotics Insittute

[ Carnegie Mellon University Robotics Institute ]

Suction-based robotic grippers are common in industrial applications due to their simplicity and robustness, but [they] struggle with geometric complexity. Grippers that can handle varied surfaces as easily as traditional suction grippers would be more effective. Here we show how a fractal structure allows suction-based grippers to increase conformability and expand approach angle range.

By Patrick O’Brien, Jakub F. Kowalewski, Chad C. Kessens, and Jeffrey Ian Lipton from Northeastern University Transformative Robotics Lab

[ Northeastern University ]

We introduce a newly developed robotic musician designed to play an acoustic guitar in a rich and expressive manner. Unlike previous robotic guitarists, our Expressive Robotic Guitarist (ERG) is designed to play a commercial acoustic guitar while controlling a wide dynamic range, millisecond-level note generation, and a variety of playing techniques such as strumming, picking, overtones, and hammer-ons.

By Ning Yang , Amit Rogel , and Gil Weinberg from Georgia Tech

[ Georgia Tech ]

The iCub project was initiated in 2004 by Giorgio Metta, Giulio Sandini, and David Vernon to create a robotic platform for embodied cognition research. The main goals of the project were to design a humanoid robot, named iCub, to create a community by leveraging on open-source licensing, and implement several basic elements of artificial cognition and developmental robotics. More than 50 iCub have been built and used worldwide for various research projects.

[ Istituto Italiano di Tecnologia ]

In our video, we present SCALER-B, a multi-modal versatile climbing robot that is a quadruped robot capable of standing up, bipedal locomotion, bipedal climbing, and pullups with two finger grippers.

By Yusuke Tanaka, Alexander Schperberg, Alvin Zhu, and Dennis Hong from UCLA

[ Robotics Mechanical Laboratory at UCLA ]

This video explores Waseda University’s innovative journey in developing wind instrument-playing robots, from automated performance to interactive musical engagement. Through demonstrations of technical advancements and collaborative performances, the video illustrates how Waseda University is pushing the boundaries of robotics, blending technology and artistry to create interactive robotic musicians.

By Jia-Yeu Lin and Atsuo Takanishi from Waseda University

[ Waseda University ]

This video presents a brief history of robot painting projects with the intention of educating viewers about the specific, core robotics challenges that people developing robot painters face. We focus on four robotics challenges: controls, the simulation-to-reality gap, generative intelligence, and human-robot interaction. We show how various projects tackle these challenges with quotes from experts in the field.

By Peter Schaldenbrand, Gerry Chen, Vihaan Misra, Lorie Chen, Ken Goldberg, and Jean Oh from CMU

[ Carnegie Mellon University ]

The wheeled humanoid neoDavid is one of the most complex humanoid robots worldwide. All finger joints can be controlled individually, giving the system exceptional dexterity. neoDavids Variable Stiffness Actuators (VSAs) enable very high performance in the tasks with fast collisions, highly energetic vibrations, or explosive motions, such as hammering, using power-tools, e.g. a drill-hammer, or throwing a ball.

[ DLR Institute of Robotics andMechatronics ]

LG Electronics’ journey to commercialize robot navigation technology in various areas such as home, public spaces, and factories will be introduced in this paper. Technical challenges ahead in robot navigation to make an innovation for our better life will be discussed. With the vision on ‘Zero Labor Home’, the next smart home agent robot will bring us next innovation in our lives with the advances of spatial AI, i.e. combination of robot navigation and AI technology.

By Hyoung-Rock Kim, DongKi Noh and Seung-Min Baek from LG

[ LG ]

HILARE stands for: Heuristiques Intégrées aux Logiciels et aux Automatismes dans un Robot Evolutif. The HILARE project started by the end of 1977 at LAAS (Laboratoire d’Automatique et d’Analyse des Systèmes at this time) under the leadership of Georges Giralt. The video features HILARE robot and delivers explanations.

By Aurelie Clodic, Raja Chatila, Marc Vaisset, Matthieu Herrb, Stephy Le Foll, Jerome Lamy, and Simon Lacroix from LAAS/CNRS (Note that the video narration is in French with English subtitles.)

[ LAAS/CNRS ]

Humanoid legged locomotion is versatile, but typically used for reaching nearby targets. Employing a personal transporter (PT) designed for humans, such as a Segway, offers an alternative for humanoids navigating the real world, enabling them to switch from walking to wheeled locomotion for covering larger distances, similar to humans. In this work, we develop control strategies that allow humanoids to operate PTs while maintaining balance.

By Vidyasagar Rajendran, William Thibault, Francisco Javier Andrade Chavez, and Katja Mombaur from University of Waterloo

[ University of Waterloo ]

Motion planning, and in particular in tight settings, is a key problem in robotics and manufacturing. One infamous example for a difficult, tight motion planning problem is the Alpha Puzzle. We present a first demonstration in the real world of an Alpha Puzzle solution with a Universal Robotics UR5e, using a solution path generated from our previous work.

By Dror Livnat, Yuval Lavi, Michael M. Bilevich, Tomer Buber, and Dan Halperin from Tel Aviv University

[ Tel Aviv University ]

Interaction between humans and their environment has been a key factor in the evolution and the expansion of intelligent species. Here we present methods to design and build an artificial environment through interactive robotic surfaces.

By Fabio Zuliani, Neil Chennoufi, Alihan Bakir, Francesco Bruno, and Jamie Paik from EPFL

[ EPFL Reconfigurable Robotics Lab ]

At the intersection of swarm robotics and architecture, we created the Swarm Garden, a novel responsive system to be deployed on façades. The Swarm Garden is an adaptive shading system made of a swarm of robotic modules that respond to humans and the environment while creating beautiful spaces. In this video, we showcase 35 robotic modules that we designed and built for The Swarm Garden.

By Merihan Alhafnawi, Lucia Stein-Montalvo, Jad Bendarkawi, Yenet Tafesse, Vicky Chow, Sigrid Adriaenssens, and Radhika Nagpal from Princeton University

[ Princeton University ]

My team at the University of Southern Denmark has been pioneering the field of self-recharging drones since 2017. These drones are equipped with a robust perception and navigation system, enabling them to identify powerlines and approach them for landing. A unique feature of our drones is their self-recharging capability. They accomplish this by landing on powerlines and utilizing a passively actuated gripping mechanism to secure themselves to the powerline cable.

By Emad Ebeid from University of southern Denmark

[ University of Southern Denmark (SDU) ]

This paper explores the design and implementation of Furnituroids, shape-changing mobile furniture robots that embrace ambiguity to offer multiple and dynamic affordances for both individual and social behaviors.

By Yasuto Nakanishi from Keio University

[ Keio University ]



Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.

IROS 2024: 14–18 October 2024, ABU DHABI, UAEICSR 2024: 23–26 October 2024, ODENSE, DENMARKCybathlon 2024: 25–27 October 2024, ZURICHHumanoids 204: 22–24 November 2024, NANCY, FRANCE

Enjoy today’s videos!

The interaction between humans and machines is gaining increasing importance due to the advancing degree of automation. This video showcases the development of robotic systems capable of recognizing and responding to human wishes.

By Jana Jost, Sebastian Hoose, Nils Gramse, Benedikt Pschera, and Jan Emmerich from Fraunhofer IML

[ Fraunhofer IML ]

Humans are capable of continuously manipulating a wide variety of deformable objects into complex shapes, owing largely to our ability to reason about material properties as well as our ability to reason in the presence of geometric occlusion in the object’s state. To study the robotic systems and algorithms capable of deforming volumetric objects, we introduce a novel robotics task of continuously deforming clay on a pottery wheel, and we present a baseline approach for tackling such a task by learning from demonstration.

By Adam Hung, Uksang Yoo, Jonathan Francis, Jean Oh, and Jeffrey Ichnowski from CMU Robotics Insittute

[ Carnegie Mellon University Robotics Institute ]

Suction-based robotic grippers are common in industrial applications due to their simplicity and robustness, but [they] struggle with geometric complexity. Grippers that can handle varied surfaces as easily as traditional suction grippers would be more effective. Here we show how a fractal structure allows suction-based grippers to increase conformability and expand approach angle range.

By Patrick O’Brien, Jakub F. Kowalewski, Chad C. Kessens, and Jeffrey Ian Lipton from Northeastern University Transformative Robotics Lab

[ Northeastern University ]

We introduce a newly developed robotic musician designed to play an acoustic guitar in a rich and expressive manner. Unlike previous robotic guitarists, our Expressive Robotic Guitarist (ERG) is designed to play a commercial acoustic guitar while controlling a wide dynamic range, millisecond-level note generation, and a variety of playing techniques such as strumming, picking, overtones, and hammer-ons.

By Ning Yang , Amit Rogel , and Gil Weinberg from Georgia Tech

[ Georgia Tech ]

The iCub project was initiated in 2004 by Giorgio Metta, Giulio Sandini, and David Vernon to create a robotic platform for embodied cognition research. The main goals of the project were to design a humanoid robot, named iCub, to create a community by leveraging on open-source licensing, and implement several basic elements of artificial cognition and developmental robotics. More than 50 iCub have been built and used worldwide for various research projects.

[ Istituto Italiano di Tecnologia ]

In our video, we present SCALER-B, a multi-modal versatile climbing robot that is a quadruped robot capable of standing up, bipedal locomotion, bipedal climbing, and pullups with two finger grippers.

By Yusuke Tanaka, Alexander Schperberg, Alvin Zhu, and Dennis Hong from UCLA

[ Robotics Mechanical Laboratory at UCLA ]

This video explores Waseda University’s innovative journey in developing wind instrument-playing robots, from automated performance to interactive musical engagement. Through demonstrations of technical advancements and collaborative performances, the video illustrates how Waseda University is pushing the boundaries of robotics, blending technology and artistry to create interactive robotic musicians.

By Jia-Yeu Lin and Atsuo Takanishi from Waseda University

[ Waseda University ]

This video presents a brief history of robot painting projects with the intention of educating viewers about the specific, core robotics challenges that people developing robot painters face. We focus on four robotics challenges: controls, the simulation-to-reality gap, generative intelligence, and human-robot interaction. We show how various projects tackle these challenges with quotes from experts in the field.

By Peter Schaldenbrand, Gerry Chen, Vihaan Misra, Lorie Chen, Ken Goldberg, and Jean Oh from CMU

[ Carnegie Mellon University ]

The wheeled humanoid neoDavid is one of the most complex humanoid robots worldwide. All finger joints can be controlled individually, giving the system exceptional dexterity. neoDavids Variable Stiffness Actuators (VSAs) enable very high performance in the tasks with fast collisions, highly energetic vibrations, or explosive motions, such as hammering, using power-tools, e.g. a drill-hammer, or throwing a ball.

[ DLR Institute of Robotics andMechatronics ]

LG Electronics’ journey to commercialize robot navigation technology in various areas such as home, public spaces, and factories will be introduced in this paper. Technical challenges ahead in robot navigation to make an innovation for our better life will be discussed. With the vision on ‘Zero Labor Home’, the next smart home agent robot will bring us next innovation in our lives with the advances of spatial AI, i.e. combination of robot navigation and AI technology.

By Hyoung-Rock Kim, DongKi Noh and Seung-Min Baek from LG

[ LG ]

HILARE stands for: Heuristiques Intégrées aux Logiciels et aux Automatismes dans un Robot Evolutif. The HILARE project started by the end of 1977 at LAAS (Laboratoire d’Automatique et d’Analyse des Systèmes at this time) under the leadership of Georges Giralt. The video features HILARE robot and delivers explanations.

By Aurelie Clodic, Raja Chatila, Marc Vaisset, Matthieu Herrb, Stephy Le Foll, Jerome Lamy, and Simon Lacroix from LAAS/CNRS (Note that the video narration is in French with English subtitles.)

[ LAAS/CNRS ]

Humanoid legged locomotion is versatile, but typically used for reaching nearby targets. Employing a personal transporter (PT) designed for humans, such as a Segway, offers an alternative for humanoids navigating the real world, enabling them to switch from walking to wheeled locomotion for covering larger distances, similar to humans. In this work, we develop control strategies that allow humanoids to operate PTs while maintaining balance.

By Vidyasagar Rajendran, William Thibault, Francisco Javier Andrade Chavez, and Katja Mombaur from University of Waterloo

[ University of Waterloo ]

Motion planning, and in particular in tight settings, is a key problem in robotics and manufacturing. One infamous example for a difficult, tight motion planning problem is the Alpha Puzzle. We present a first demonstration in the real world of an Alpha Puzzle solution with a Universal Robotics UR5e, using a solution path generated from our previous work.

By Dror Livnat, Yuval Lavi, Michael M. Bilevich, Tomer Buber, and Dan Halperin from Tel Aviv University

[ Tel Aviv University ]

Interaction between humans and their environment has been a key factor in the evolution and the expansion of intelligent species. Here we present methods to design and build an artificial environment through interactive robotic surfaces.

By Fabio Zuliani, Neil Chennoufi, Alihan Bakir, Francesco Bruno, and Jamie Paik from EPFL

[ EPFL Reconfigurable Robotics Lab ]

At the intersection of swarm robotics and architecture, we created the Swarm Garden, a novel responsive system to be deployed on façades. The Swarm Garden is an adaptive shading system made of a swarm of robotic modules that respond to humans and the environment while creating beautiful spaces. In this video, we showcase 35 robotic modules that we designed and built for The Swarm Garden.

By Merihan Alhafnawi, Lucia Stein-Montalvo, Jad Bendarkawi, Yenet Tafesse, Vicky Chow, Sigrid Adriaenssens, and Radhika Nagpal from Princeton University

[ Princeton University ]

My team at the University of Southern Denmark has been pioneering the field of self-recharging drones since 2017. These drones are equipped with a robust perception and navigation system, enabling them to identify powerlines and approach them for landing. A unique feature of our drones is their self-recharging capability. They accomplish this by landing on powerlines and utilizing a passively actuated gripping mechanism to secure themselves to the powerline cable.

By Emad Ebeid from University of southern Denmark

[ University of Southern Denmark (SDU) ]

This paper explores the design and implementation of Furnituroids, shape-changing mobile furniture robots that embrace ambiguity to offer multiple and dynamic affordances for both individual and social behaviors.

By Yasuto Nakanishi from Keio University

[ Keio University ]



When we think of grasping robots, we think of manipulators of some sort on the ends of arms of some sort. Because of course we do—that’s how (most of us) are built, and that’s the mindset with which we have consequently optimized the world around us. But one of the great things about robots is that they don’t have to be constrained by our constraints, and at ICRA@40 in Rotterdam this week, we saw a novel new Thing: a robotic hand that can detach from its arm and then crawl around to grasp objects that would be otherwise out of reach, designed by roboticists from EPFL in Switzerland.

Fundamentally, robot hands and crawling robots share a lot of similarities, including a body along with some wiggly bits that stick out and do stuff. But most robotic hands are designed to grasp rather than crawl, and as far as I’m aware, no robotic hands have been designed to do both of those things at the same time. Since both capabilities are important, you don’t necessarily want to stick with a traditional grasping-focused hand design. The researchers employed a genetic algorithm and simulation to test a bunch of different configurations in order to optimize for the ability to hold things and to move.

You’ll notice that the fingers bend backwards as well as forwards, which effectively doubles the ways in which the hand (or, “Handcrawler”) can grasp objects. And it’s a little bit hard to tell from the video, but the Handcrawler attaches to the wrist using magnets for alignment along with a screw that extends to lock the hand into place.

“Although you see it in scary movies, I think we’re the first to introduce this idea to robotics.” —Xiao Gao, EPFL

The whole system is controlled manually in the video, but lead author Xiao Gao tells us that they already have an autonomous version (with external localization) working in the lab. In fact, they’ve managed to run an entire grasping sequence autonomously, with the Handcrawler detaching from the arm, crawling to a location the arm can’t reach, picking up an object, and then returning and reattaching itself to the arm again.

Beyond Manual Dexterity: Designing a Multi-fingered Robotic Hand for Grasping and Crawling, by Xiao Gao, Kunpeng Yao, Kai Junge, Josie Hughes, and Aude Billard from EPFL and MIT, was presented at ICRA@40 this week in Rotterdam.


When we think of grasping robots, we think of manipulators of some sort on the ends of arms of some sort. Because of course we do—that’s how (most of us) are built, and that’s the mindset with which we have consequently optimized the world around us. But one of the great things about robots is that they don’t have to be constrained by our constraints, and at ICRA@40 in Rotterdam this week, we saw a novel new Thing: a robotic hand that can detach from its arm and then crawl around to grasp objects that would be otherwise out of reach, designed by roboticists from EPFL in Switzerland.

Fundamentally, robot hands and crawling robots share a lot of similarities, including a body along with some wiggly bits that stick out and do stuff. But most robotic hands are designed to grasp rather than crawl, and as far as I’m aware, no robotic hands have been designed to do both of those things at the same time. Since both capabilities are important, you don’t necessarily want to stick with a traditional grasping-focused hand design. The researchers employed a genetic algorithm and simulation to test a bunch of different configurations in order to optimize for the ability to hold things and to move.

You’ll notice that the fingers bend backwards as well as forwards, which effectively doubles the ways in which the hand (or, “Handcrawler”) can grasp objects. And it’s a little bit hard to tell from the video, but the Handcrawler attaches to the wrist using magnets for alignment along with a screw that extends to lock the hand into place.

“Although you see it in scary movies, I think we’re the first to introduce this idea to robotics.” —Xiao Gao, EPFL

The whole system is controlled manually in the video, but lead author Xiao Gao tells us that they already have an autonomous version (with external localization) working in the lab. In fact, they’ve managed to run an entire grasping sequence autonomously, with the Handcrawler detaching from the arm, crawling to a location the arm can’t reach, picking up an object, and then returning and reattaching itself to the arm again.

Beyond Manual Dexterity: Designing a Multi-fingered Robotic Hand for Grasping and Crawling, by Xiao Gao, Kunpeng Yao, Kai Junge, Josie Hughes, and Aude Billard from EPFL and MIT, was presented at ICRA@40 this week in Rotterdam.


This is a sponsored article brought to you by Khalifa University of Science and Technology.

A total of eight intense competitions to inspire creativity and innovation along with 13 forums dedicated to diverse segments of robotics and artificial intelligence will be part of the 36th edition of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024) in Abu Dhabi.

These competitions at the Middle East and North Africa (MENA) region’s first-ever global conference and exhibition from 14-18 October 2024 at the Abu Dhabi National Exhibition Center (ADNEC) will highlight some of the key aspects of robotics. These include physical or athletic intelligence of robots, remote robot navigation, robot manipulation, underwater robotics, perception and sensing as well as challenges for wildlife preservation.

This edition of IROS is one of the largest of its kind globally in this category because of active participation across all levels, with 5,740 authors, 16 keynote speakers, 46 workshops, 11 tutorials, as well as 28 exhibitors and 12 startups. The forums at IROS will explore the rapidly evolving role of robotics in many industry sectors as well as policy-making and regulatory areas. Several leading corporate majors, and industry professionals from across the globe are gathering for IROS 2024 which is themed “Robotics for Sustainable Development.”

“The intense robotics competitions will inspire creativity, while the products on display as well as keynotes will pave the way for more community-relevant solutions.” —Jorge Dias, IROS 2024 General Chair

Dr. Jorge Dias, IROS 2024 General Chair, said: “Such a large gathering of scientists, researchers, industry leaders and government stakeholders in Abu Dhabi for IROS 2024 also demonstrates the role of UAE in pioneering new technologies and in providing an international platform for knowledge exchange and sharing of expertise. The intense robotics competitions will inspire creativity, while the products on display as well as keynotes will pave the way for more community-relevant solutions.”

The competitions are:

In addition to these competitions, the Falcon Monitoring Challenge (FMC) will focus on advancing the field of wildlife tracking and conservation through the development of sophisticated, noninvasive monitoring systems.

Khalifa University

IROS 2024 will also include three keynote talks on ‘Robotic Competitions’ that will be moderated by Professor Lakmal Seneviratne, Director, Center for Autonomous Robotic Systems (KU-CARS), Khalifa University. The keynotes will be delivered by Professor Pedro Lima, Institute for Systems and Robotics, Instituto Superior Técnico, University of. Lisbon, Portugal; Dr. Timothy Chung, General Manager, Autonomy and Robotics, Microsoft, US; and Dr. Ubbo Visser, President of the RoboCup Federation, Director of Graduate Studies, and Associate Professor of Computer Science, University of Miami, US.

The forums at IROS 2024 will include:

Other forums include:

One of the largest and most important robotics research conferences in the world, IROS 2024 provides a platform for the international robotics community to exchange knowledge and ideas about the latest advances in intelligent robots and smart machines. A total of 3,344 paper submissions representing 60 countries, have been received from researchers and scientists across the world. China tops the list with more than 1,000 papers, the US with 777, Germany with 302, Japan with 253, and the UK and South Korea with 173 each. The UAE remains top in the Arab region with 68 papers.

One of the largest and most important robotics research conferences in the world, IROS 2024 provides a platform for the international robotics community to exchange knowledge and ideas.

For eight consecutive years since 2017, Abu Dhabi has remained first on the world’s safest cities list, according to online database Numbeo, which assessed 329 global cities for the 2024 listing. This reflects the emirate’s ongoing efforts to ensure a good quality of life for citizens and residents. With a multicultural community, Abu Dhabi is home to people from more than 200 nationalities, and draws a large number of tourists to some of the top art galleries in the city such as Louvre Abu Dhabi and the Guggenheim Abu Dhabi, as well as other destinations such as Ferrari World Abu Dhabi and Warner Bros. World™ Abu Dhabi.

Because of its listing as one of the safest cities, Abu Dhabi continues to host several international conferences and exhibitions. Abu Dhabi is set to host the UNCTAD World Investment Forum, the 13th World Trade Organization (WTO) Ministerial Conference (MC13), the 12th World Environment Education Congress in 2024, and the IUCN World Conservation Congress in 2025.

IROS 2024 is sponsored by IEEE Robotics and Automation Society, Abu Dhabi Convention and Exhibition Bureau, the Robotics Society of Japan (RSJ), the Society of Instrument and Control Engineers (SICE), the New Technology Foundation, and the IEEE Industrial Electronics Society (IES).

More information at https://iros2024-abudhabi.org/



This is a sponsored article brought to you by Khalifa University of Science and Technology.

A total of eight intense competitions to inspire creativity and innovation along with 13 forums dedicated to diverse segments of robotics and artificial intelligence will be part of the 36th edition of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024) in Abu Dhabi.

These competitions at the Middle East and North Africa (MENA) region’s first-ever global conference and exhibition from 14-18 October 2024 at the Abu Dhabi National Exhibition Center (ADNEC) will highlight some of the key aspects of robotics. These include physical or athletic intelligence of robots, remote robot navigation, robot manipulation, underwater robotics, perception and sensing as well as challenges for wildlife preservation.

This edition of IROS is one of the largest of its kind globally in this category because of active participation across all levels, with 5,740 authors, 16 keynote speakers, 46 workshops, 11 tutorials, as well as 28 exhibitors and 12 startups. The forums at IROS will explore the rapidly evolving role of robotics in many industry sectors as well as policy-making and regulatory areas. Several leading corporate majors, and industry professionals from across the globe are gathering for IROS 2024 which is themed “Robotics for Sustainable Development.”

“The intense robotics competitions will inspire creativity, while the products on display as well as keynotes will pave the way for more community-relevant solutions.” —Jorge Dias, IROS 2024 General Chair

Dr. Jorge Dias, IROS 2024 General Chair, said: “Such a large gathering of scientists, researchers, industry leaders and government stakeholders in Abu Dhabi for IROS 2024 also demonstrates the role of UAE in pioneering new technologies and in providing an international platform for knowledge exchange and sharing of expertise. The intense robotics competitions will inspire creativity, while the products on display as well as keynotes will pave the way for more community-relevant solutions.”

The competitions are:

In addition to these competitions, the Falcon Monitoring Challenge (FMC) will focus on advancing the field of wildlife tracking and conservation through the development of sophisticated, noninvasive monitoring systems.

Khalifa University

IROS 2024 will also include three keynote talks on ‘Robotic Competitions’ that will be moderated by Professor Lakmal Seneviratne, Director, Center for Autonomous Robotic Systems (KU-CARS), Khalifa University. The keynotes will be delivered by Professor Pedro Lima, Institute for Systems and Robotics, Instituto Superior Técnico, University of. Lisbon, Portugal; Dr. Timothy Chung, General Manager, Autonomy and Robotics, Microsoft, US; and Dr. Ubbo Visser, President of the RoboCup Federation, Director of Graduate Studies, and Associate Professor of Computer Science, University of Miami, US.

The forums at IROS 2024 will include:

Other forums include:

One of the largest and most important robotics research conferences in the world, IROS 2024 provides a platform for the international robotics community to exchange knowledge and ideas about the latest advances in intelligent robots and smart machines. A total of 3,344 paper submissions representing 60 countries, have been received from researchers and scientists across the world. China tops the list with more than 1,000 papers, the US with 777, Germany with 302, Japan with 253, and the UK and South Korea with 173 each. The UAE remains top in the Arab region with 68 papers.

One of the largest and most important robotics research conferences in the world, IROS 2024 provides a platform for the international robotics community to exchange knowledge and ideas.

For eight consecutive years since 2017, Abu Dhabi has remained first on the world’s safest cities list, according to online database Numbeo, which assessed 329 global cities for the 2024 listing. This reflects the emirate’s ongoing efforts to ensure a good quality of life for citizens and residents. With a multicultural community, Abu Dhabi is home to people from more than 200 nationalities, and draws a large number of tourists to some of the top art galleries in the city such as Louvre Abu Dhabi and the Guggenheim Abu Dhabi, as well as other destinations such as Ferrari World Abu Dhabi and Warner Bros. World™ Abu Dhabi.

Because of its listing as one of the safest cities, Abu Dhabi continues to host several international conferences and exhibitions. Abu Dhabi is set to host the UNCTAD World Investment Forum, the 13th World Trade Organization (WTO) Ministerial Conference (MC13), the 12th World Environment Education Congress in 2024, and the IUCN World Conservation Congress in 2025.

IROS 2024 is sponsored by IEEE Robotics and Automation Society, Abu Dhabi Convention and Exhibition Bureau, the Robotics Society of Japan (RSJ), the Society of Instrument and Control Engineers (SICE), the New Technology Foundation, and the IEEE Industrial Electronics Society (IES).

More information at https://iros2024-abudhabi.org/



Where’s your flying car? I’m sorry to say that I have no idea. But here’s something that is somewhat similar, in that it flies, transports things, and has “car” in the name: it’s a flying cart, called the Palletrone (pallet+drone), designed for human-robot interaction-based aerial cargo transportation.

The way this thing works is fairly straightforward. The Palletrone will try to keep its roll and pitch at zero, to make sure that there’s a flat and stable platform for your preciouses, even if you don’t load those preciouses onto the drone evenly. Once loaded up, the drone relies on you to tell it where to go and what to do, using its IMU to respond to the slightest touch and translating those forces into control over the Palletrone’s horizontal, vertical, and yaw trajectories. This is particularly tricky to do, because the system has to be able to differentiate between the force exerted by cargo, and the force exerted by a human, since if the IMU senses a force moving the drone downward, it could be either. But professor Seung Jae Lee tells us that they developed “a simple but effective method to distinguish between them.”

Since the drone has to do all of this sensing and movement without pitching or rolling (since that would dump its cargo directly onto the floor) it’s equipped with internal propeller arms that can be rotated to vector thrust in any direction. We were curious about how having a bunch of unpredictable stuff sitting right above those rotors might affect the performance of the drone. But Seung Jae Lee says that the drone’s porous side structures allow for sufficient airflow and that even when the entire top of the drone is covered, thrust is only decreased by about 5 percent.

The current incarnation of the Palletrone is not particularly smart, and you need to remain in control of it, although if you let it go it will do its best to remain stationary (until it runs out of batteries). The researchers describe the experience of using this thing as “akin to maneuvering a shopping cart,” although I would guess that it’s somewhat noisier. In the video, the Palletrone is loaded down with just under 3 kilograms of cargo, which is respectable enough for testing. The drone is obviously not powerful enough to haul your typical grocery bag up the stairs to your apartment. But, it’s a couple of steps in the right direction, at least.

We also asked Seung Jae Lee about how he envisions the Palletrone being used, besides as just a logistics platform for either commercial or industrial use. “By attaching a camera to the platform, it could serve as a flying tripod or even act as a dolly, allowing for flexible camera movements and angles,” he says. “This would be particularly useful in environments where specialized filming equipment is difficult to procure.”

And for those of you about to comment something along the lines of, “this can’t possibly have enough battery life to be real-world useful,” they’re already working to solve that, with a docking system that allows one Palletrone to change the battery of another in-flight:

One Palletrone swaps out the battery of a second Palletrone.Seoul Tech

The Palletrone Cart: Human-Robot Interaction-Based Aerial Cargo Transportation,” by Geonwoo Park, Hyungeun Park, Wooyong Park, Dongjae Lee, Murim Kim, and Seung Jae Lee from Seoul National University of Science and Technology in Korea, is published in IEEE Robotics And Automation Letters.



Where’s your flying car? I’m sorry to say that I have no idea. But here’s something that is somewhat similar, in that it flies, transports things, and has “car” in the name: it’s a flying cart, called the Palletrone (pallet+drone), designed for human-robot interaction-based aerial cargo transportation.

The way this thing works is fairly straightforward. The Palletrone will try to keep its roll and pitch at zero, to make sure that there’s a flat and stable platform for your preciouses, even if you don’t load those preciouses onto the drone evenly. Once loaded up, the drone relies on you to tell it where to go and what to do, using its IMU to respond to the slightest touch and translating those forces into control over the Palletrone’s horizontal, vertical, and yaw trajectories. This is particularly tricky to do, because the system has to be able to differentiate between the force exerted by cargo, and the force exerted by a human, since if the IMU senses a force moving the drone downward, it could be either. But professor Seung Jae Lee tells us that they developed “a simple but effective method to distinguish between them.”

Since the drone has to do all of this sensing and movement without pitching or rolling (since that would dump its cargo directly onto the floor) it’s equipped with internal propeller arms that can be rotated to vector thrust in any direction. We were curious about how having a bunch of unpredictable stuff sitting right above those rotors might affect the performance of the drone. But Seung Jae Lee says that the drone’s porous side structures allow for sufficient airflow and that even when the entire top of the drone is covered, thrust is only decreased by about 5 percent.

The current incarnation of the Palletrone is not particularly smart, and you need to remain in control of it, although if you let it go it will do its best to remain stationary (until it runs out of batteries). The researchers describe the experience of using this thing as “akin to maneuvering a shopping cart,” although I would guess that it’s somewhat noisier. In the video, the Palletrone is loaded down with just under 3 kilograms of cargo, which is respectable enough for testing. The drone is obviously not powerful enough to haul your typical grocery bag up the stairs to your apartment. But, it’s a couple of steps in the right direction, at least.

We also asked Seung Jae Lee about how he envisions the Palletrone being used, besides as just a logistics platform for either commercial or industrial use. “By attaching a camera to the platform, it could serve as a flying tripod or even act as a dolly, allowing for flexible camera movements and angles,” he says. “This would be particularly useful in environments where specialized filming equipment is difficult to procure.”

And for those of you about to comment something along the lines of, “this can’t possibly have enough battery life to be real-world useful,” they’re already working to solve that, with a docking system that allows one Palletrone to change the battery of another in-flight:

One Palletrone swaps out the battery of a second Palletrone.Seoul Tech

The Palletrone Cart: Human-Robot Interaction-Based Aerial Cargo Transportation,” by Geonwoo Park, Hyungeun Park, Wooyong Park, Dongjae Lee, Murim Kim, and Seung Jae Lee from Seoul National University of Science and Technology in Korea, is published in IEEE Robotics And Automation Letters.



Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.

ICRA@40: 23–26 September 2024, ROTTERDAM, NETHERLANDSIROS 2024: 14–18 October 2024, ABU DHABI, UAEICSR 2024: 23–26 October 2024, ODENSE, DENMARKCybathlon 2024: 25–27 October 2024, ZURICH

Enjoy today’s videos!

Zipline has (finally) posted some real live footage of its new Platform 2 drone, and while it’s just as weird looking as before, it seems to actually work really well.

[ Zipline ]

I appreciate Disney Research’s insistence on always eventually asking, “okay, but can we get this to work on a real robot in the real world?”

[ Paper from ETH Zurich and Disney Research [PDF] ]

In this video, we showcase our humanoid robot, Nadia, being remotely controlled for boxing training using a simple VR motion capture setup. A remote user takes charge of Nadia’s movements, demonstrating the power of our advanced teleoperation system. Watch as Nadia performs precise boxing moves, highlighting the potential for humanoid robots in dynamic, real-world tasks.

[ IHMC ]

Guide dogs are expensive to train and maintain—if available at all. Because of these limiting factors, relatively few blind people use them. Computer science assistant professor Donghyun Kim and Ph.D candidate Hochul Hwang are hoping to change that with the help of UMass database analyst Gail Gunn and her guide dog, Brawny.

[ University of Massachusetts, Amherst ]

Thanks Julia!

The current paradigm for motion planning generates solutions from scratch for every new problem, which consumes significant amounts of time and computational resources. Our approach builds a large number of complex scenes in simulation, collects expert data from a motion planner, then distills it into a reactive generalist policy. We then combine this with lightweight optimization to obtain a safe path for real world deployment.

[ Neural MP ]

A nice mix of NAO and AI for embodied teaching.

[ Aldebaran ]

When retail and logistics giant Otto Group set out to strengthen its operational efficiency and safety, it turned to robotics and automation. The Otto Group has become the first company in Europe to deploy the mobile case handling robot Stretch, which unloads floor-loaded trailers and containers.

[ Boston Dynamics ]

From groceries to last-minute treats, Wing is here to make sure deliveries arrive quickly and safely. Our latest aircraft design features a larger, more standardized box and can carry a higher payload which came directly from customer and partner feedback.

[ Wing ]

It’s the jacket that gets me.

[ Devanthro ]

In this video, we introduce Rotograb, a robotic hand that merges the dexterity of human hands with the strength and efficiency of industrial grippers. Rotograb features a new rotating thumb mechanism, allowing for precision in-hand manipulation and power grasps while being adaptable. The robotic hand was developed by students during “Real World Robotics”, a master course by the Soft Robotics Lab at ETH Zurich.

[ ETH Zurich ]

A small scene where Rémi, our distinguished professor, is teaching chess to the person remotely operating Reachy! The grippers allow for easy and precise handling of chess pieces, even the small ones! The robot shown in this video is the Beta version of Reachy 2, our new robot coming very soon!

[ Pollen ]

Enhancing the adaptability and versatility of unmanned micro aerial vehicles (MAVs) is crucial for expanding their application range. In this article, we present a bimodal reconfigurable robot capable of operating in both regular quadcopter flight mode and a unique revolving flight mode, which allows independent control of the vehicle’s position and roll-pitch attitude.

[ City University Hong Kong ]

The Parallel Continuum Manipulator (PACOMA) is an advanced robotic system designed to replace traditional robotic arms in space missions, such as exploration, in-orbit servicing, and docking. Its design emphasizes robustness against misalignments and impacts, high precision and payload capacity, and sufficient mechanical damping for stable, controlled movements.

[ DFKI Robotics Innovation Center ]

Even the FPV pros from Team BlackSheep do, very occasionally, crash.

[ Team BlackSheep ]

This is a one-hour uninterrupted video of a robot cleaning bathrooms in real time. I’m not sure if it’s practical, but I am sure that it’s impressive, honestly.

[ Somatic ]



Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.

ICRA@40: 23–26 September 2024, ROTTERDAM, NETHERLANDSIROS 2024: 14–18 October 2024, ABU DHABI, UAEICSR 2024: 23–26 October 2024, ODENSE, DENMARKCybathlon 2024: 25–27 October 2024, ZURICH

Enjoy today’s videos!

Zipline has (finally) posted some real live footage of its new Platform 2 drone, and while it’s just as weird looking as before, it seems to actually work really well.

[ Zipline ]

I appreciate Disney Research’s insistence on always eventually asking, “okay, but can we get this to work on a real robot in the real world?”

[ Paper from ETH Zurich and Disney Research [PDF] ]

In this video, we showcase our humanoid robot, Nadia, being remotely controlled for boxing training using a simple VR motion capture setup. A remote user takes charge of Nadia’s movements, demonstrating the power of our advanced teleoperation system. Watch as Nadia performs precise boxing moves, highlighting the potential for humanoid robots in dynamic, real-world tasks.

[ IHMC ]

Guide dogs are expensive to train and maintain—if available at all. Because of these limiting factors, relatively few blind people use them. Computer science assistant professor Donghyun Kim and Ph.D candidate Hochul Hwang are hoping to change that with the help of UMass database analyst Gail Gunn and her guide dog, Brawny.

[ University of Massachusetts, Amherst ]

Thanks Julia!

The current paradigm for motion planning generates solutions from scratch for every new problem, which consumes significant amounts of time and computational resources. Our approach builds a large number of complex scenes in simulation, collects expert data from a motion planner, then distills it into a reactive generalist policy. We then combine this with lightweight optimization to obtain a safe path for real world deployment.

[ Neural MP ]

A nice mix of NAO and AI for embodied teaching.

[ Aldebaran ]

When retail and logistics giant Otto Group set out to strengthen its operational efficiency and safety, it turned to robotics and automation. The Otto Group has become the first company in Europe to deploy the mobile case handling robot Stretch, which unloads floor-loaded trailers and containers.

[ Boston Dynamics ]

From groceries to last-minute treats, Wing is here to make sure deliveries arrive quickly and safely. Our latest aircraft design features a larger, more standardized box and can carry a higher payload which came directly from customer and partner feedback.

[ Wing ]

It’s the jacket that gets me.

[ Devanthro ]

In this video, we introduce Rotograb, a robotic hand that merges the dexterity of human hands with the strength and efficiency of industrial grippers. Rotograb features a new rotating thumb mechanism, allowing for precision in-hand manipulation and power grasps while being adaptable. The robotic hand was developed by students during “Real World Robotics”, a master course by the Soft Robotics Lab at ETH Zurich.

[ ETH Zurich ]

A small scene where Rémi, our distinguished professor, is teaching chess to the person remotely operating Reachy! The grippers allow for easy and precise handling of chess pieces, even the small ones! The robot shown in this video is the Beta version of Reachy 2, our new robot coming very soon!

[ Pollen ]

Enhancing the adaptability and versatility of unmanned micro aerial vehicles (MAVs) is crucial for expanding their application range. In this article, we present a bimodal reconfigurable robot capable of operating in both regular quadcopter flight mode and a unique revolving flight mode, which allows independent control of the vehicle’s position and roll-pitch attitude.

[ City University Hong Kong ]

The Parallel Continuum Manipulator (PACOMA) is an advanced robotic system designed to replace traditional robotic arms in space missions, such as exploration, in-orbit servicing, and docking. Its design emphasizes robustness against misalignments and impacts, high precision and payload capacity, and sufficient mechanical damping for stable, controlled movements.

[ DFKI Robotics Innovation Center ]

Even the FPV pros from Team BlackSheep do, very occasionally, crash.

[ Team BlackSheep ]

This is a one-hour uninterrupted video of a robot cleaning bathrooms in real time. I’m not sure if it’s practical, but I am sure that it’s impressive, honestly.

[ Somatic ]



Four decades after the first IEEE International Conference on Robotics and Automation (ICRA) in Atlanta, robotics is bigger than ever. Next week in Rotterdam is the IEEE ICRA@40 conference, “a celebration of 40 years of pioneering research and technological advancements in robotics and automation.” There’s an ICRA every year, of course. Arguably the largest robotics research conference in the world, the 2024 edition was held in Yokohama, Japan back in May.

ICRA@40 is not just a second ICRA conference in 2024. Next week’s conference is a single track that promises “a journey through the evolution of robotics and automation,” through four days of short keynotes from prominent roboticists from across the entire field. You can see for yourself, the speaker list is nuts. There are also debates and panels tackling big ideas, like: “What progress has been made in different areas of robotics and automation over the past decades, and what key challenges remain?” Personally, I’d say “lots” and “most of them,” but that’s probably why I’m not going to be up on stage.

There will also be interactive research presentations, live demos, an expo, and more—the conference schedule is online now, and the abstracts are online as well. I’ll be there to cover it all, but if you can make it in person, it’ll be worth it.

Forty years ago is a long time, but it’s not that long, so just for fun, I had a look at the proceedings of ICRA 1984 which are available on IEEE Xplore, if you’re curious. Here’s an excerpt of the forward from the organizers, which included folks from International Business Machines and Bell Labs:

The proceedings of the first IEEE Computer Society International Conference on Robotics contains papers covering practically all aspects of robotics. The response to our call for papers has been overwhelming, and the number of papers submitted by authors outside the United States indicates the strong international interest in robotics.
The Conference program includes papers on: computer vision; touch and other local sensing; manipulator kinematics, dynamics, control and simulation; robot programming languages, operating systems, representation, planning, man-machine interfaces; multiple and mobile robot systems.
The technical level of the Conference is high with papers being presented by leading researchers in robotics. We believe that this conference, the first of a series to be sponsored by the IEEE, will provide a forum for the dissemination of fundamental research results in this fast developing field.

Technically, this was “ICR,” not “ICRA,” and it was put on by the IEEE Computer Society’s Technical Committee on Robotics, since there was no IEEE Robotics and Automation Society at that time; RAS didn’t get off the ground until 1987.

1984 ICR(A) had two tracks, and featured about 75 papers presented over three days. Looking through the proceedings, you’ll find lots of familiar names: Harry Asada, Ruzena Bajcsy, Ken Salisbury, Paolo Dario, Matt Mason, Toshio Fukuda, Ron Fearing, and Marc Raibert. Many of these folks will be at ICRA@40, so if you see them, make sure and thank them for helping to start it all, because 40 years of robotics is definitely something to celebrate.


Four decades after the first IEEE International Conference on Robotics and Automation (ICRA) in Atlanta, robotics is bigger than ever. Next week in Rotterdam is the IEEE ICRA@40 conference, “a celebration of 40 years of pioneering research and technological advancements in robotics and automation.” There’s an ICRA every year, of course. Arguably the largest robotics research conference in the world, the 2024 edition was held in Yokohama, Japan back in May.

ICRA@40 is not just a second ICRA conference in 2024. Next week’s conference is a single track that promises “a journey through the evolution of robotics and automation,” through four days of short keynotes from prominent roboticists from across the entire field. You can see for yourself, the speaker list is nuts. There are also debates and panels tackling big ideas, like: “What progress has been made in different areas of robotics and automation over the past decades, and what key challenges remain?” Personally, I’d say “lots” and “most of them,” but that’s probably why I’m not going to be up on stage.

There will also be interactive research presentations, live demos, an expo, and more—the conference schedule is online now, and the abstracts are online as well. I’ll be there to cover it all, but if you can make it in person, it’ll be worth it.

Forty years ago is a long time, but it’s not that long, so just for fun, I had a look at the proceedings of ICRA 1984 which are available on IEEE Xplore, if you’re curious. Here’s an excerpt of the forward from the organizers, which included folks from International Business Machines and Bell Labs:

The proceedings of the first IEEE Computer Society International Conference on Robotics contains papers covering practically all aspects of robotics. The response to our call for papers has been overwhelming, and the number of papers submitted by authors outside the United States indicates the strong international interest in robotics.
The Conference program includes papers on: computer vision; touch and other local sensing; manipulator kinematics, dynamics, control and simulation; robot programming languages, operating systems, representation, planning, man-machine interfaces; multiple and mobile robot systems.
The technical level of the Conference is high with papers being presented by leading researchers in robotics. We believe that this conference, the first of a series to be sponsored by the IEEE, will provide a forum for the dissemination of fundamental research results in this fast developing field.

Technically, this was “ICR,” not “ICRA,” and it was put on by the IEEE Computer Society’s Technical Committee on Robotics, since there was no IEEE Robotics and Automation Society at that time; RAS didn’t get off the ground until 1987.

1984 ICR(A) had two tracks, and featured about 75 papers presented over three days. Looking through the proceedings, you’ll find lots of familiar names: Harry Asada, Ruzena Bajcsy, Ken Salisbury, Paolo Dario, Matt Mason, Toshio Fukuda, Ron Fearing, and Marc Raibert. Many of these folks will be at ICRA@40, so if you see them, make sure and thank them for helping to start it all, because 40 years of robotics is definitely something to celebrate.


The software used to control a robot is normally highly adapted to its specific physical set up. But now researchers have created a single general-purpose robotic control policy that can operate robotic arms, wheeled robots, quadrupeds, and even drones.

One of the biggest challenges when it comes to applying machine learning to robotics is the paucity of data. While computer vision and natural language processing can piggyback off the vast quantities of image and text data found on the Internet, collecting robot data is costly and time-consuming.

To get around this, there have been growing efforts to pool data collected by different groups on different kinds of robots, including the Open X-Embodiment and DROID datasets. The hope is that training on diverse robotics data will lead to “positive transfer,” which refers to when skills learned from training on one task help to boost performance on another.

The problem is that robots often have very different embodiments—a term used to describe their physical layout and suite of sensors and actuators—so the data they collect can vary significantly. For instance, a robotic arm might be static, have a complex arrangement of joints and fingers, and collect video from a camera on its wrist. In contrast, a quadruped robot is regularly on the move and relies on force feedback from its legs to maneuver. The kinds of tasks and actions these machines are trained to carry out are also diverse: The arm may pick and place objects, while the quadruped needs keen navigation.

That makes training a single AI model on these large collections of data challenging, says Homer Walke, a Ph.D. student at the University of California, Berkeley. So far, most attempts have either focused on data from a narrower selection of similar robots or researchers have manually tweaked data to make observations from different robots more similar. But in research to be presented at the Conference on Robot Learning (CoRL) in Munich in November, they unveiled a new model called CrossFormer that can train on data from a diverse set of robots and control them just as well as specialized control policies.

“We want to be able to train on all of this data to get the most capable robot,” says Walke. “The main advance in this paper is working out what kind of architecture works the best for accommodating all these varying inputs and outputs.”

How to control diverse robots with the same AI model

The team used the same model architecture that powers large language model, known as a transformer. In many ways, the challenge the researchers were trying to solve is not dissimilar to that facing a chatbot, says Walke. In language modeling, the AI has to to pick out similar patterns in sentences with different lengths and word orders. Robot data can also be arranged in a sequence much like a written sentence, but depending on the particular embodiment, observations and actions vary in length and order too.

“Words might appear in different locations in a sentence, but they still mean the same thing,” says Walke. “In our task, an observation image might appear in different locations in the sequence, but it’s still fundamentally an image and we still want to treat it like an image.”

UC Berkeley/Carnegie Mellon University

Most machine learning approaches work through a sequence one element at a time, but transformers can process the entire stream of data at once. This allows them to analyze the relationship between different elements and makes them better at handling sequences that are not standardized, much like the diverse data found in large robotics datasets.

Walke and his colleagues aren’t the first to train transformers on large-scale robotics data. But previous approaches have either trained solely on data from robotic arms with broadly similar embodiments or manually converted input data to a common format to make it easier to process. In contrast, CrossFormer can process images from cameras positioned above a robot, at head height or on a robotic arms wrist, as well as joint position data from both quadrupeds and robotic arms, without any tweaks.

The result is a single control policy that can operate single robotic arms, pairs of robotic arms, quadrupeds, and wheeled robots on tasks as varied as picking and placing objects, cutting sushi, and obstacle avoidance. Crucially, it matched the performance of specialized models tailored for each robot and outperformed previous approaches trained on diverse robotic data. The team even tested whether the model could control an embodiment not included in the dataset—a small quadcopter. While they simplified things by making the drone fly at a fixed altitude, CrossFormer still outperformed the previous best method.

“That was definitely pretty cool,” says Ria Doshi, an undergraduate student at Berkeley. “I think that as we scale up our policy to be able to train on even larger sets of diverse data, it’ll become easier to see this kind of zero shot transfer onto robots that have been completely unseen in the training.”

The limitations of one AI model for all robots

The team admits there’s still work to do, however. The model is too big for any of the robots’ embedded chips and instead has to be run from a server. Even then, processing times are only just fast enough to support real-time operation, and Walke admits that could break down if they scale up the model. “When you pack so much data into a model it has to be very big and that means running it for real-time control becomes difficult.”

One potential workaround would be to use an approach called distillation, says Oier Mees, a postdoctoral research at Berkley and part of the CrossFormer team. This essentially involves training a smaller model to mimic the larger model, and if successful can result in similar performance for a much smaller computational budget.

But of more importance than the computing resource problem is that the team failed to see any positive transfer in their experiments, as CrossFormer simply matched previous performance rather than exceeding it. Walke thinks progress in computer vision and natural language processing suggests that training on more data could be the key.

Others say it might not be that simple. Jeannette Bohg, a professor of robotics at Stanford University, says the ability to train on such a diverse dataset is a significant contribution. But she wonders whether part of the reason why the researchers didn’t see positive transfer is their insistence on not aligning the input data. Previous research that trained on robots with similar observation and action data has shown evidence of such cross-overs. “By getting rid of this alignment, they may have also gotten rid of this significant positive transfer that we’ve seen in other work,” Bohg says.

It’s also not clear if the approach will boost performance on tasks specific to particular embodiments or robotic applications, says Ram Ramamoorthy, a robotics professor at Edinburgh University. The work is a promising step towards helping robots capture concepts common to most robots, like “avoid this obstacle,” he says. But it may be less useful for tackling control problems specific to a particular robot, such as how to knead dough or navigate a forest, which are often the hardest to solve.



The software used to control a robot is normally highly adapted to its specific physical set up. But now researchers have created a single general-purpose robotic control policy that can operate robotic arms, wheeled robots, quadrupeds, and even drones.

One of the biggest challenges when it comes to applying machine learning to robotics is the paucity of data. While computer vision and natural language processing can piggyback off the vast quantities of image and text data found on the Internet, collecting robot data is costly and time-consuming.

To get around this, there have been growing efforts to pool data collected by different groups on different kinds of robots, including the Open X-Embodiment and DROID datasets. The hope is that training on diverse robotics data will lead to “positive transfer,” which refers to when skills learned from training on one task help to boost performance on another.

The problem is that robots often have very different embodiments—a term used to describe their physical layout and suite of sensors and actuators—so the data they collect can vary significantly. For instance, a robotic arm might be static, have a complex arrangement of joints and fingers, and collect video from a camera on its wrist. In contrast, a quadruped robot is regularly on the move and relies on force feedback from its legs to maneuver. The kinds of tasks and actions these machines are trained to carry out are also diverse: The arm may pick and place objects, while the quadruped needs keen navigation.

That makes training a single AI model on these large collections of data challenging, says Homer Walke, a Ph.D. student at the University of California, Berkeley. So far, most attempts have either focused on data from a narrower selection of similar robots or researchers have manually tweaked data to make observations from different robots more similar. But in research to be presented at the Conference on Robot Learning (CoRL) in Munich in November, they unveiled a new model called CrossFormer that can train on data from a diverse set of robots and control them just as well as specialized control policies.

“We want to be able to train on all of this data to get the most capable robot,” says Walke. “The main advance in this paper is working out what kind of architecture works the best for accommodating all these varying inputs and outputs.”

How to control diverse robots with the same AI model

The team used the same model architecture that powers large language model, known as a transformer. In many ways, the challenge the researchers were trying to solve is not dissimilar to that facing a chatbot, says Walke. In language modeling, the AI has to to pick out similar patterns in sentences with different lengths and word orders. Robot data can also be arranged in a sequence much like a written sentence, but depending on the particular embodiment, observations and actions vary in length and order too.

“Words might appear in different locations in a sentence, but they still mean the same thing,” says Walke. “In our task, an observation image might appear in different locations in the sequence, but it’s still fundamentally an image and we still want to treat it like an image.”

UC Berkeley/Carnegie Mellon University

Most machine learning approaches work through a sequence one element at a time, but transformers can process the entire stream of data at once. This allows them to analyze the relationship between different elements and makes them better at handling sequences that are not standardized, much like the diverse data found in large robotics datasets.

Walke and his colleagues aren’t the first to train transformers on large-scale robotics data. But previous approaches have either trained solely on data from robotic arms with broadly similar embodiments or manually converted input data to a common format to make it easier to process. In contrast, CrossFormer can process images from cameras positioned above a robot, at head height or on a robotic arms wrist, as well as joint position data from both quadrupeds and robotic arms, without any tweaks.

The result is a single control policy that can operate single robotic arms, pairs of robotic arms, quadrupeds, and wheeled robots on tasks as varied as picking and placing objects, cutting sushi, and obstacle avoidance. Crucially, it matched the performance of specialized models tailored for each robot and outperformed previous approaches trained on diverse robotic data. The team even tested whether the model could control an embodiment not included in the dataset—a small quadcopter. While they simplified things by making the drone fly at a fixed altitude, CrossFormer still outperformed the previous best method.

“That was definitely pretty cool,” says Ria Doshi, an undergraduate student at Berkeley. “I think that as we scale up our policy to be able to train on even larger sets of diverse data, it’ll become easier to see this kind of zero shot transfer onto robots that have been completely unseen in the training.”

The limitations of one AI model for all robots

The team admits there’s still work to do, however. The model is too big for any of the robots’ embedded chips and instead has to be run from a server. Even then, processing times are only just fast enough to support real-time operation, and Walke admits that could break down if they scale up the model. “When you pack so much data into a model it has to be very big and that means running it for real-time control becomes difficult.”

One potential workaround would be to use an approach called distillation, says Oier Mees, a postdoctoral research at Berkley and part of the CrossFormer team. This essentially involves training a smaller model to mimic the larger model, and if successful can result in similar performance for a much smaller computational budget.

But of more importance than the computing resource problem is that the team failed to see any positive transfer in their experiments, as CrossFormer simply matched previous performance rather than exceeding it. Walke thinks progress in computer vision and natural language processing suggests that training on more data could be the key.

Others say it might not be that simple. Jeannette Bohg, a professor of robotics at Stanford University, says the ability to train on such a diverse dataset is a significant contribution. But she wonders whether part of the reason why the researchers didn’t see positive transfer is their insistence on not aligning the input data. Previous research that trained on robots with similar observation and action data has shown evidence of such cross-overs. “By getting rid of this alignment, they may have also gotten rid of this significant positive transfer that we’ve seen in other work,” Bohg says.

It’s also not clear if the approach will boost performance on tasks specific to particular embodiments or robotic applications, says Ram Ramamoorthy, a robotics professor at Edinburgh University. The work is a promising step towards helping robots capture concepts common to most robots, like “avoid this obstacle,” he says. But it may be less useful for tackling control problems specific to a particular robot, such as how to knead dough or navigate a forest, which are often the hardest to solve.



This is a sponsored article brought to you by Khalifa University of Science and Technology.

Abu Dhabi-based Khalifa University of Science and Technology in the United Arab Emirates (UAE) will be hosting the 36th edition of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024) to highlight the Middle East and North Africa (MENA) region’s rapidly advancing capabilities in the robotics and intelligent transport systems.

aspect_ratio

Themed “Robotics for Sustainable Development,” the IROS 2024 will be held from 14-18 October 2024 at the Abu Dhabi National Exhibition Center (ADNEC) in the UAE’s capital city. It will offer a platform for universities and research institutions to display their research and innovation activities and initiatives in robotics, gathering researchers, academics, leading corporate majors, and industry professionals from around the globe.

A total of 13 forums, nine global-level competitions and challenges covering various aspects of robotics and AI, an IROS Expo, as well as an exclusive Career Fair will also be part of IROS 2024. The challenges and competitions will focus on physical or athletic intelligence of robots, remote robot navigation, robot manipulation, underwater robotics, as well as perception and sensing.

Delegates for the event will represent sectors including manufacturing, healthcare, logistics, agriculture, defense, security, and mining sectors with 60 percent of the talent pool having over six years of experience in robotics. A major component of the conference will be the poster sessions, keynotes, panel discussions by researchers and scientists, and networking events.

Khalifa University will be hosting IROS 2024 to highlight the Middle East and North Africa (MENA) region’s rapidly advancing capabilities in the robotics and intelligent transport systems.Khalifa University

Abu Dhabi ranks first on the world’s safest cities list in 2024, according to online database Numbeo, out of 329 global cities in the 2024 standings, holding the title for eight consecutive years since 2017, reflecting the emirate’s ongoing efforts to ensure a good quality of life for citizens and residents.

With a multicultural community, Abu Dhabi is home to people from more than 200 nationalities and draws a large number of tourists to some of the top art galleries in the city such as Louvre Abu Dhabi and the Guggenheim Abu Dhabi, as well as other destinations such as Ferrari World Abu Dhabi and Warner Bros. World Abu Dhabi.

The UAE and Abu Dhabi have increasingly become a center for creative skillsets, human capital and advanced technologies, attracting several international and regional events such as the global COP28 UAE climate summit, in which more than 160 countries participated.

Abu Dhabi city itself has hosted a number of association conventions such as the 34th International Nursing Research Congress and is set to host the UNCTAD World Investment Forum, the 13th World Trade Organization (WTO) Ministerial Conference (MC13), the 12th World Environment Education Congress in 2024, and the IUCN World Conservation Congress in 2025.

Khalifa University’s Center for Robotics and Autonomous Systems (KU-CARS) includes a vibrant multidisciplinary environment for conducting robotics and autonomous vehicle-related research and innovation.Khalifa University

Dr. Jorge Dias, IROS 2024 General Chair, said: “Khalifa University is delighted to bring the Intelligent Robots and Systems 2024 to Abu Dhabi in the UAE and highlight the innovations in line with the theme Robotics for Sustainable Development. As the region’s rapidly advancing capabilities in robotics and intelligent transport systems gain momentum, this event serves as a platform to incubate ideas, exchange knowledge, foster collaboration, and showcase our research and innovation activities. By hosting IROS 2024, Khalifa University aims to reaffirm the UAE’s status as a global innovation hub and destination for all industry stakeholders to collaborate on cutting-edge research and explore opportunities for growth within the UAE’s innovation ecosystem.”

“This event serves as a platform to incubate ideas, exchange knowledge, foster collaboration, and showcase our research and innovation activities” —Dr. Jorge Dias, IROS 2024 General Chair

Dr. Dias added: “The organizing committee of IROS 2024 has received over 4000 submissions representing 60 countries, with China leading with 1,029 papers, followed by the U.S. (777), Germany (302), and Japan (253), as well as the U.K. and South Korea (173 each). The UAE with a total of 68 papers comes atop the Arab region.”

Driving innovation at Khalifa University is the Center for Robotics and Autonomous Systems (KU-CARS) with around 50 researchers and state-of-the-art laboratory facilities, including a vibrant multidisciplinary environment for conducting robotics and autonomous vehicle-related research and innovation.

IROS 2024 is sponsored by IEEE Robotics and Automation Society, Abu Dhabi Convention and Exhibition Bureau, the Robotics Society of Japan (RSJ), the Society of Instrument and Control Engineers (SICE), the New Technology Foundation, and the IEEE Industrial Electronics Society (IES).

More information at https://iros2024-abudhabi.org/



This is a sponsored article brought to you by Khalifa University of Science and Technology.

Abu Dhabi-based Khalifa University of Science and Technology in the United Arab Emirates (UAE) will be hosting the 36th edition of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2024) to highlight the Middle East and North Africa (MENA) region’s rapidly advancing capabilities in the robotics and intelligent transport systems.

aspect_ratio

Themed “Robotics for Sustainable Development,” the IROS 2024 will be held from 14-18 October 2024 at the Abu Dhabi National Exhibition Center (ADNEC) in the UAE’s capital city. It will offer a platform for universities and research institutions to display their research and innovation activities and initiatives in robotics, gathering researchers, academics, leading corporate majors, and industry professionals from around the globe.

A total of 13 forums, nine global-level competitions and challenges covering various aspects of robotics and AI, an IROS Expo, as well as an exclusive Career Fair will also be part of IROS 2024. The challenges and competitions will focus on physical or athletic intelligence of robots, remote robot navigation, robot manipulation, underwater robotics, as well as perception and sensing.

Delegates for the event will represent sectors including manufacturing, healthcare, logistics, agriculture, defense, security, and mining sectors with 60 percent of the talent pool having over six years of experience in robotics. A major component of the conference will be the poster sessions, keynotes, panel discussions by researchers and scientists, and networking events.

Khalifa University will be hosting IROS 2024 to highlight the Middle East and North Africa (MENA) region’s rapidly advancing capabilities in the robotics and intelligent transport systems.Khalifa University

Abu Dhabi ranks first on the world’s safest cities list in 2024, according to online database Numbeo, out of 329 global cities in the 2024 standings, holding the title for eight consecutive years since 2017, reflecting the emirate’s ongoing efforts to ensure a good quality of life for citizens and residents.

With a multicultural community, Abu Dhabi is home to people from more than 200 nationalities and draws a large number of tourists to some of the top art galleries in the city such as Louvre Abu Dhabi and the Guggenheim Abu Dhabi, as well as other destinations such as Ferrari World Abu Dhabi and Warner Bros. World Abu Dhabi.

The UAE and Abu Dhabi have increasingly become a center for creative skillsets, human capital and advanced technologies, attracting several international and regional events such as the global COP28 UAE climate summit, in which more than 160 countries participated.

Abu Dhabi city itself has hosted a number of association conventions such as the 34th International Nursing Research Congress and is set to host the UNCTAD World Investment Forum, the 13th World Trade Organization (WTO) Ministerial Conference (MC13), the 12th World Environment Education Congress in 2024, and the IUCN World Conservation Congress in 2025.

Khalifa University’s Center for Robotics and Autonomous Systems (KU-CARS) includes a vibrant multidisciplinary environment for conducting robotics and autonomous vehicle-related research and innovation.Khalifa University

Dr. Jorge Dias, IROS 2024 General Chair, said: “Khalifa University is delighted to bring the Intelligent Robots and Systems 2024 to Abu Dhabi in the UAE and highlight the innovations in line with the theme Robotics for Sustainable Development. As the region’s rapidly advancing capabilities in robotics and intelligent transport systems gain momentum, this event serves as a platform to incubate ideas, exchange knowledge, foster collaboration, and showcase our research and innovation activities. By hosting IROS 2024, Khalifa University aims to reaffirm the UAE’s status as a global innovation hub and destination for all industry stakeholders to collaborate on cutting-edge research and explore opportunities for growth within the UAE’s innovation ecosystem.”

“This event serves as a platform to incubate ideas, exchange knowledge, foster collaboration, and showcase our research and innovation activities” —Dr. Jorge Dias, IROS 2024 General Chair

Dr. Dias added: “The organizing committee of IROS 2024 has received over 4000 submissions representing 60 countries, with China leading with 1,029 papers, followed by the U.S. (777), Germany (302), and Japan (253), as well as the U.K. and South Korea (173 each). The UAE with a total of 68 papers comes atop the Arab region.”

Driving innovation at Khalifa University is the Center for Robotics and Autonomous Systems (KU-CARS) with around 50 researchers and state-of-the-art laboratory facilities, including a vibrant multidisciplinary environment for conducting robotics and autonomous vehicle-related research and innovation.

IROS 2024 is sponsored by IEEE Robotics and Automation Society, Abu Dhabi Convention and Exhibition Bureau, the Robotics Society of Japan (RSJ), the Society of Instrument and Control Engineers (SICE), the New Technology Foundation, and the IEEE Industrial Electronics Society (IES).

More information at https://iros2024-abudhabi.org/



Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.

ICRA@40: 23–26 September 2024, ROTTERDAM, NETHERLANDSIROS 2024: 14–18 October 2024, ABU DHABI, UAEICSR 2024: 23–26 October 2024, ODENSE, DENMARKCybathlon 2024: 25–27 October 2024, ZURICH

Enjoy today’s videos!

Researchers at the Max Planck Institute for Intelligent Systems and ETH Zurich have developed a robotic leg with artificial muscles. Inspired by living creatures, it jumps across different terrains in an agile and energy-efficient manner.

[ Nature ] via [ MPI ]

Thanks, Toshi!

ETH Zurich researchers have now developed a fast robotic printing process for earth-based materials that does not require cement. In what is known as “impact printing,” a robot shoots material from above, gradually building a wall. On impact, the parts bond together, and very minimal additives are required.

[ ETH Zurich ]

How could you not be excited to see this happen for real?

[ arXiv paper ]

Can we all agree that sanding, grinding, deburring, and polishing tasks are really best done by robots, for the most part?

[ Cohesive Robotics ]

Thanks, David!

Using doors is a longstanding challenge in robotics and is of significant practical interest in giving robots greater access to human-centric spaces. The task is challenging due to the need for online adaptation to varying door properties and precise control in manipulating the door panel and navigating through the confined doorway. To address this, we propose a learning-based controller for a legged manipulator to open and traverse through doors.

[ arXiv paper ]

Isaac is the first robot assistant that’s built for the home. And we’re shipping it in fall of 2025.

Fall of 2025 is a long enough time from now that I’m not even going to speculate about it.

[ Weave Robotics ]

By patterning liquid metal paste onto a soft sheet of silicone or acrylic foam tape, we developed stretchable versions of conventional rigid circuits (like Arduinos). Our soft circuits can be stretched to over 300% strain (over 4x their length) and are integrated into active soft robots.

[ Science Robotics ] via [ Yale ]

NASA’s Curiosity rover is exploring a scientifically exciting area on Mars, but communicating with the mission team on Earth has recently been a challenge due to both the current season and the surrounding terrain. In this Mars Report, Curiosity engineer Reidar Larsen takes you inside the uplink room where the team talks to the rover.

[ NASA ]

I love this and want to burn it with fire.

[ Carpentopod ]

Very often, people ask us what Reachy 2 is capable of, which is why we’re showing you the manipulation possibilities (through teleoperation) of our technology. The robot shown in this video is the Beta version of Reachy 2, our new robot coming very soon!

[ Pollen Robotics ]

The Scalable Autonomous Robots (ScalAR) Lab is an interdisciplinary lab focused on fundamental research problems in robotics that lie at the intersection of robotics, nonlinear dynamical systems theory, and uncertainty.

[ ScalAR Lab ]

Astorino is a 6-axis educational robot created for practical and affordable teaching of robotics in schools and beyond. It has been created with 3D printing, so it allows for experimentation and the possible addition of parts. With its design and programming, it replicates the actions of #KawasakiRobotics industrial robots, giving students the necessary skills for future work.

[ Astorino ]

I guess fish-fillet-shaping robots need to exist because otherwise customers will freak out if all their fish fillets are not identical, or something?

[ Flexiv ]

Watch the second episode of the ExoMars Rosalind Franklin rover mission—Europe’s ambitious exploration journey to search for past and present signs of life on Mars. The rover will dig, collect, and investigate the chemical composition of material collected by a drill. Rosalind Franklin will be the first rover to reach a depth of up to two meters below the surface, acquiring samples that have been protected from surface radiation and extreme temperatures.

[ ESA ]



Video Friday is your weekly selection of awesome robotics videos, collected by your friends at IEEE Spectrum robotics. We also post a weekly calendar of upcoming robotics events for the next few months. Please send us your events for inclusion.

ICRA@40: 23–26 September 2024, ROTTERDAM, NETHERLANDSIROS 2024: 14–18 October 2024, ABU DHABI, UAEICSR 2024: 23–26 October 2024, ODENSE, DENMARKCybathlon 2024: 25–27 October 2024, ZURICH

Enjoy today’s videos!

Researchers at the Max Planck Institute for Intelligent Systems and ETH Zurich have developed a robotic leg with artificial muscles. Inspired by living creatures, it jumps across different terrains in an agile and energy-efficient manner.

[ Nature ] via [ MPI ]

Thanks, Toshi!

ETH Zurich researchers have now developed a fast robotic printing process for earth-based materials that does not require cement. In what is known as “impact printing,” a robot shoots material from above, gradually building a wall. On impact, the parts bond together, and very minimal additives are required.

[ ETH Zurich ]

How could you not be excited to see this happen for real?

[ arXiv paper ]

Can we all agree that sanding, grinding, deburring, and polishing tasks are really best done by robots, for the most part?

[ Cohesive Robotics ]

Thanks, David!

Using doors is a longstanding challenge in robotics and is of significant practical interest in giving robots greater access to human-centric spaces. The task is challenging due to the need for online adaptation to varying door properties and precise control in manipulating the door panel and navigating through the confined doorway. To address this, we propose a learning-based controller for a legged manipulator to open and traverse through doors.

[ arXiv paper ]

Isaac is the first robot assistant that’s built for the home. And we’re shipping it in fall of 2025.

Fall of 2025 is a long enough time from now that I’m not even going to speculate about it.

[ Weave Robotics ]

By patterning liquid metal paste onto a soft sheet of silicone or acrylic foam tape, we developed stretchable versions of conventional rigid circuits (like Arduinos). Our soft circuits can be stretched to over 300% strain (over 4x their length) and are integrated into active soft robots.

[ Science Robotics ] via [ Yale ]

NASA’s Curiosity rover is exploring a scientifically exciting area on Mars, but communicating with the mission team on Earth has recently been a challenge due to both the current season and the surrounding terrain. In this Mars Report, Curiosity engineer Reidar Larsen takes you inside the uplink room where the team talks to the rover.

[ NASA ]

I love this and want to burn it with fire.

[ Carpentopod ]

Very often, people ask us what Reachy 2 is capable of, which is why we’re showing you the manipulation possibilities (through teleoperation) of our technology. The robot shown in this video is the Beta version of Reachy 2, our new robot coming very soon!

[ Pollen Robotics ]

The Scalable Autonomous Robots (ScalAR) Lab is an interdisciplinary lab focused on fundamental research problems in robotics that lie at the intersection of robotics, nonlinear dynamical systems theory, and uncertainty.

[ ScalAR Lab ]

Astorino is a 6-axis educational robot created for practical and affordable teaching of robotics in schools and beyond. It has been created with 3D printing, so it allows for experimentation and the possible addition of parts. With its design and programming, it replicates the actions of #KawasakiRobotics industrial robots, giving students the necessary skills for future work.

[ Astorino ]

I guess fish-fillet-shaping robots need to exist because otherwise customers will freak out if all their fish fillets are not identical, or something?

[ Flexiv ]

Watch the second episode of the ExoMars Rosalind Franklin rover mission—Europe’s ambitious exploration journey to search for past and present signs of life on Mars. The rover will dig, collect, and investigate the chemical composition of material collected by a drill. Rosalind Franklin will be the first rover to reach a depth of up to two meters below the surface, acquiring samples that have been protected from surface radiation and extreme temperatures.

[ ESA ]

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