Virtual elasto-plastic robot compliance to active environments

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.

Authors

Institutions

Publication Details

Journal
Science Robotics
Published
2025-02-26
DOI
https://doi.org/10.1126/scirobotics.adq1703
Citations
6
Primary Topic
Robot Manipulation and Learning
Type
article
Field-Weighted Citation Impact
7.29
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Virtual elasto-plastic robot compliance to active environments

Neal Y. Lii, Werner Friedl, Annette Hagengruber, Jörn Vogel et al.
6 citations
Science Robotics
Robot Manipulation and Learning
7.29
article

Virtual elasto-plastic robot compliance to active environments

Neal Y. Lii, Werner Friedl, Annette Hagengruber, Jörn Vogel, Robert J. Burger, Xuwei Wu, Peter Schmaus, Gabriel Quere, Maged Iskandar, Michael Panzirsch, Rute Luz, Harsimran Singh, J. Butterfaß, Xiaozhou Luo, Thomas Gumpert, Alin Albu‐Schäffer, Emiel den Exter, Adrian S. Bauer, Florian Lay, Daniel Leidner, Nesrine Batti, Frederick H. Schmidt, Thomas Krüeger, Ajithkumar N. Manaparampil, Luisa Mayershofer, Pedro Pavelski, Anne Koepken, Samuel Bustamante-Gomez
article en
6 citations

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.

Science RoboticsVol. 10(99)
University of Bremen (DE), Deutsches Zentrum für Luft- und Raumfahrt e. V. (DLR) (DE), Institut Polytechnique de Paris (FR), European Space Research and Technology Centre (NL), Technical University of Munich (DE)
Openalex Percentile: Top 3%
Robot Manipulation and Learning
7.29
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.