Virtual elasto-plastic robot compliance to active environments

IF 26.1 1区 计算机科学 Q1 ROBOTICS
Science Robotics Pub Date : 2025-02-26
Michael Panzirsch, Harsimran Singh, Xuwei Wu, Maged Iskandar, Anne Koepken, Rute Luz, Nesrine Batti, Florian S. Lay, Ajithkumar Narayanan Manaparampil, Luisa Mayershofer, Xiaozhou Luo, Robert Burger, Samuel Bustamante-Gomez, Jörg Butterfass, Emiel den Exter, Werner Friedl, Thomas Gumpert, Pedro Pavelski, Gabriel Quere, Florian Schmidt, Alin Albu-Schaeffer, Adrian S. Bauer, Daniel Leidner, Peter Schmaus, Annette Hagengruber, Thomas Krueger, Jörn Vogel, Neal Y. Lii
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引用次数: 0

Abstract

Humans exhibit a particular compliant behavior in interactions with their environment. Facilitated by fast physical reasoning, humans are able to rapidly alter their compliance, enhancing robustness and safety in active environments. Transferring these capabilities to robotics is of utmost importance particularly as major space agencies begin investigating the potential of cooperative robotic teams in space. In this scenario, robots in orbit or on planetary surfaces are meant to support astronauts in exploration, maintenance, and habitat building to reduce costs and risks of space missions. A major challenge for interactive robot teams is establishing the capability to act in and interact with dynamic environments. Analogous to humans, the robot should be not only particularly compliant in case of unexpected collisions with other systems but also able to cooperatively handle objects requiring accurate pose estimation and fast trajectory planning. Here, we show that these challenges can be attenuated through an enhancement of active robot compliance introducing a virtual plastic first-order impedance component. We present how elasto-plastic compliance can be realized via energy-based detection of active environments and how evasive motions can be enabled through adaptive plastic compliance. Two space teleoperation experiments using different robotic assets confirm the potential of the method to enhance robustness in interaction with articulated objects and facilitate robot cooperation. An experiment in a health care facility presents how the same method analogously solidifies robotic interactions in human-robot shared environments by giving the robot a subordinate role.
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来源期刊
Science Robotics
Science Robotics Mathematics-Control and Optimization
CiteScore
30.60
自引率
2.80%
发文量
83
期刊介绍: Science Robotics publishes original, peer-reviewed, science- or engineering-based research articles that advance the field of robotics. The journal also features editor-commissioned Reviews. An international team of academic editors holds Science Robotics articles to the same high-quality standard that is the hallmark of the Science family of journals. Sub-topics include: actuators, advanced materials, artificial Intelligence, autonomous vehicles, bio-inspired design, exoskeletons, fabrication, field robotics, human-robot interaction, humanoids, industrial robotics, kinematics, machine learning, material science, medical technology, motion planning and control, micro- and nano-robotics, multi-robot control, sensors, service robotics, social and ethical issues, soft robotics, and space, planetary and undersea exploration.
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