Science Robotics @SciRobotics
Official Twitter account of the journal Science Robotics. Also find us on Facebook: https://t.co/EI6szHLWIb sciencerobotics.org Washington, DC Joined October 2015-
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A new spider-legged #robot named #ReachBot is designed to explore caves and lava tubes on future Moon and Mars missions. @StanfordEng Learn more in Science #robotics: scim.ag/6De
The April issue of Science #Robotics is now out! Miniature robots trained using deep #ReinforcementLearning can play one-on-one soccer. They can walk, kick the ball, and recover from falls—and can also adapt to the game with emergent behaviors. scim.ag/6Cg
This robot gets its hops from flying. A new study in Science #Robotics shows off the agile jumps of the #Hopcopter, created by @CityUHongKong @hkust scientists. scim.ag/6Bz
New research from @GoogleDeepMind brings together soccer and robotics. Using reinforcement learning, robots display agile and reactive movements similar to a soccer player, no shin guards needed:) science.org/doi/10.1126/sc…
They're not ready for the @FIFAWorldCup yet, but these robots trained using #MachineLearning can kick, run, get off the pitch and block shots in one-on-one matches. @GoogleDeepMind Learn more in Science #Robotics: scim.ag/6zN
Soccer players have to master a range of dynamic skills, from turning and kicking to chasing a ball. How could robots do the same? ⚽ We trained our AI agents to demonstrate a range of agile behaviors using reinforcement learning. Here’s how. 🧵 dpmd.ai/3vUlgjC
No better word than 'excitement' 🎉👀🤖⚽ Our robot soccer work has finally been published in @SciRobotics! @GoogleDeepMind RL for controller design is an extremely capable and flexible approach (eg incorporate large multimodal models in the future)!
No better word than 'excitement' 🎉👀🤖⚽ Our robot soccer work has finally been published in @SciRobotics! @GoogleDeepMind RL for controller design is an extremely capable and flexible approach (eg incorporate large multimodal models in the future)!
Introducing the #Hopcopter, a #microrobot that combines hopping and flying for maximum agility. @CityUHongKong @hkust Learn more in Science #Robotics: scim.ag/6z4
Researchers at @GoogleDeepMind used deep reinforcement learning to train humanoid bipedal robots to play agile one-on-one soccer with each other. Read more in Science #Robotics: scim.ag/6y2 #deepRL
Learn more about the real '50s and '60s robots that provided an alternative history of robotics in the 2023 @creatorthefilm. Read more from @robinrmurphy in Science #Robotics: scim.ag/6rI
Researchers show in Science #Robotics how Emo the robot learned to understand its own expressions and smile in sync with humans while conversing. scim.ag/6px @Columbia @DukeU
In this Science #Robotics Focus, @robinrmurphy shares the history of the real robots in the 2023 @creatorthefilm. Learn more: scim.ag/6oJ
Emo the robot can anticipate a human smile within 839 milliseconds and deliver a simultaneous grin. @Columbia @DukeU Learn more in a new Science #Robotics study: scim.ag/6nD
A prototype actuator synthesizes the benefits of motor- and spring-based actuation and shows fine torque control and improved energy recovery, according to a new study in Science #Robotics. scim.ag/6lF @Stanford
A new #NeuralNetwork significantly lowered the amount of energy that lower limb exosuit users expended when walking on level ground, up inclines, and even climbing stairs. Now out in Science #Robotics: scim.ag/6jX
Check out our new paper in @SciRobotics! We're excited to share our framework for intelligent task agnostic exoskeleton control. Great work from Drs. @dean_molinaro, @inseungkang, and Aaron Young.
Check out our new paper in @SciRobotics! We're excited to share our framework for intelligent task agnostic exoskeleton control. Great work from Drs. @dean_molinaro, @inseungkang, and Aaron Young.
A new motor- and spring-based actuator design has the potential to reduce energy consumption by 50% to 97% depending on the device, and could be used to improve efficiency of #robots. Read more in Science #Robotics: scim.ag/6iN @Stanford
A new #DeepLearning control framework can help exosuits for the lower body autonomously adapt to their wearer’s locomotive needs. Now out in Science #Robotics: scim.ag/6i5
A miniature wheeled robot can convert fluid flow into mechanical energy, enabling it to move through tiny, complexly shaped pipes with varying diameters. @metin_sitti @MPI_IS @kocuniversity Learn more in Science #Robotics: scim.ag/6hO
An Exobiology Extant Life Surveyor robot shows capabilities of autonomous risk aware task and motion planning during navigation on icy terrain, and could one day be deployed for exploration of life on Enceladus. @NASAJPL Learn more: scim.ag/6gY
Wevolver @WevolverApp
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8 Followers 186 FollowingXuanhe Zhao @ProfZhaoMIT
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8K Followers 772 Following Assistant Professor, Willens Scholar, and HMRI Investigator @Caltech; Associate Editor of Science AdvancesRodney Brooks @rodneyabrooks
31K Followers 37 Following Distinguishing hype-notism from plausibility one press release at a time. I post regularly as @rodneyabrooks at https://t.co/sF7HmACXdd cofounder at https://t.co/LUTTbi3pdsRitu Raman @DrRituRaman
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398 Followers 2K Following Latina, immigrant, scicomm. Sr. Media & Public Affairs Mgr @aaas. Creator of @scipak_es at @ScienceMagazine. @JohnsHopkins alumna. Prior @ChildrensNatlNew research from @GoogleDeepMind brings together soccer and robotics. Using reinforcement learning, robots display agile and reactive movements similar to a soccer player, no shin guards needed:) science.org/doi/10.1126/sc…
Soccer players have to master a range of dynamic skills, from turning and kicking to chasing a ball. How could robots do the same? ⚽ We trained our AI agents to demonstrate a range of agile behaviors using reinforcement learning. Here’s how. 🧵 dpmd.ai/3vUlgjC
No better word than 'excitement' 🎉👀🤖⚽ Our robot soccer work has finally been published in @SciRobotics! @GoogleDeepMind RL for controller design is an extremely capable and flexible approach (eg incorporate large multimodal models in the future)!
Soccer players have to master a range of dynamic skills, from turning and kicking to chasing a ball. How could robots do the same? ⚽ We trained our AI agents to demonstrate a range of agile behaviors using reinforcement learning. Here’s how. 🧵 dpmd.ai/3vUlgjC
Check out our new paper in @SciRobotics! We're excited to share our framework for intelligent task agnostic exoskeleton control. Great work from Drs. @dean_molinaro, @inseungkang, and Aaron Young.
A new #DeepLearning control framework can help exosuits for the lower body autonomously adapt to their wearer’s locomotive needs. Now out in Science #Robotics: scim.ag/6i5
🔥Exciting news 🤖 Our latest research by @HoellerDavid, @rdn_nikita, @2nisi in @SciRobotics unlocks new achievements: Unprecedented agility in quadrupedal robots, mastering locomotion, navigation, and perception through deep reinforcement learning! @NVIDIARobotics
Air-powered soft valve circuit system continues to work when run over by a car. “[They] could even work in extreme environments where radiation or acid would harm humans as well as traditional metallic robotics,” authors write.
A new electronics-free, air-powered unit shows its usefulness when integrated as a drink dispenser and its resiliency when stepped on and run over by a car. @livMatS_UniFR @FalkTauber Read more in Science #Robotics: scim.ag/5IC
7/7 Aggregates can “flow” over obstacles, and self-coordinate to slide on slippery surfaces, or crawl and roll on anti-slip grounds, without wireless communication between robots.
5/7 The design of a Granulobot allows aggregates to self-organize and deform like a material liquid or solid, soft or rigid. Depending on local control parameters, set in all robots, aggregates can self-coordinate locomotion gaits, without relying on a central computer.
6/7 Instead, they achieve this solely through mechanical interactions, whereas their tunable material-like properties allow them to adapt to different environmental conditions.
4/7 Picture it as a collection of grains that connect to form aggregates, similar to a wet sandpile, but now with motorized grains. Granulobots can autonomously unite, separate, and create diverse structures by applying torque to their neighbors.
3/7 This design demonstrates a form of control computing based on mechanical feedback rather than sophisticated electronics and sensors, advancing the development of resilient robotic systems with the ability to morph and adapt to various functions and conditions.
2/7 We address the challenge of designing robotic systems capable of changing their shape and flexibility to adapt to various environments. We introduce Granulobots, a self-reconfigurable robotic system inspired by the highly adaptive properties of granular matter.
1/7 Excited to share my last publication at @SciRobotics using soft matter physics principles to combine soft, modular, and swarm robotics. We address the challenge of designing robotic systems capable of changing their shape and flexibility to adapt to various environments.
A new robotic system relies on the collective behavior of its distinct units to move and overcome hurdles. Learn more in Science Robotics ⬇️ 📄: scim.ag/5E3 @B_Saintyves @UChicago Focus: scim.ag/5E4 @GeorgiaTech
Ant brain-inspired neural network could one day help agricultural robots navigate cropland. ⬇️
A new ant-inspired spiking #NeuralNetwork approach featured in Science #Robotics could improve how agricultural robots move through dense and plant-filled landscapes. 📄: scim.ag/4hw
"Our results will serve as a starting point for research focused on exceeding the limits of human capabilities through wearable robots,” Moon et al. write.
A new Focus in Science #Robotics spotlights the capacity of a soft exoskeleton suit to improve the sprint time of non-elite level runners by an average performance of 0.97 seconds. Read more: scim.ag/4gE
Bionic hand actively worked with its user’s sensorimotor system for three years – and counting. It also reduced the user's phantom limb pain, authors report.
Over 3 years, a bionic hand interacted with its user’s neuromusculoskeletal system, providing enhanced dexterity, reliability, and functionality as a prosthetic. Study by @MaxOrtizCatalan: science.org/doi/10.1126/sc… Focus: science.org/doi/10.1126/sc…
Dexterity-boosting #NeuralNetwork helps robotic arms manipulate unfamiliar objects. “Our hardware setup costs less than $5,000 and uses only open-source components,” the authors write. “Our platform can democratize research in dexterous manipulation.”
A #NeuralNetwork can direct armed robots to pick up and reorient replicas of objects, including a coffee mug, a tea pot, a truck, a duck, an elephant, and a cow. @taochenshh @pulkitology @MIT_CSAIL Learn more in Science #Robotics: scim.ag/4VF
This motion planning method helps #robots move and cooperate without colliding. In real world tests, robotic arms successfully worked together to move and reposition items including spray paint cans, and adapted to avoid collision.
This mouse-inspired neurorobotic design gives robots a more flexible backbone. The motor-tendon framework's front half is rigid and contains electronics. The back half acts as a vertebrate spine, equipped with four lumbar and lateral joints.
A new mouse-inspired robot shows a heightened degree of spinal flexibility, due to lateral flexion of a compliant spine, when compared to other existing four-legged #robots. @TU_Muenchen Learn more in Science #Robotics: scim.ag/55A
Human-machine interface system can give users an extra arm in virtual worlds and reality. From real-world tests, authors observed that users could harness the extra limb to press buttons across a horizontal board in patterns that evoked the game Whack-A-Mole.
New in Science #Robotics: In virtual and real-world testing, users completed exercises with a new human-machine interface system with an extra robotic arm using gaze and breathing contractions. @GiDominijanni @_smicera @SolaimanShokur @LeonardoPollina scim.ag/5bF