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Virtual elasto-plastic robot compliance to active environments

Panzirsch, Michael and Singh, Harsimran and Wu, Xuwei and Iskandar, Maged and Köpken, Anne and Luz, Rute and Batti, Nesrine and Lay, Florian Samuel and Manaparampil, Ajithkumar Narayanan and Mayershofer, Luisa and Luo, Xiaozhou and Burger, Robert and Bustamante Gomez, Samuel and Butterfass, Jörg and den Exter, Emiel and Friedl, Werner and Gumpert, Thomas and Pavelski, Pedro Henrique and Quere, Gabriel and Schmidt, Florian and Albu-Schäffer, Alin Olimpiu and Bauer, Adrian Simon and Leidner, Daniel and Schmaus, Peter and Hagengruber, Annette and Krueger, Thomas and Vogel, Jörn and Lii, Neal Yi-Sheng (2025) Virtual elasto-plastic robot compliance to active environments. Science Robotics, 10 (99). American Association for the Advancement of Science (AAAS). doi: 10.1126/scirobotics.adq1703. ISSN 2470-9476.

Full text not available from this repository.

Official URL: https://www.science.org/stoken/author-tokens/ST-2460/full

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.

Item URL in elib:https://elib.dlr.de/213023/
Document Type:Article
Title:Virtual elasto-plastic robot compliance to active environments
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Panzirsch, MichaelUNSPECIFIEDhttps://orcid.org/0000-0002-0647-7147UNSPECIFIED
Singh, HarsimranUNSPECIFIEDhttps://orcid.org/0000-0002-6735-9945UNSPECIFIED
Wu, XuweiUNSPECIFIEDhttps://orcid.org/0000-0003-2616-9149UNSPECIFIED
Iskandar, MagedUNSPECIFIEDhttps://orcid.org/0000-0003-0644-0659UNSPECIFIED
Köpken, AnneUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Luz, RuteUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Batti, NesrineUNSPECIFIEDhttps://orcid.org/0009-0002-2404-158X179109756
Lay, Florian SamuelUNSPECIFIEDhttps://orcid.org/0000-0002-5706-3278UNSPECIFIED
Manaparampil, Ajithkumar NarayananUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Mayershofer, LuisaUNSPECIFIEDhttps://orcid.org/0009-0003-2587-6973179109759
Luo, XiaozhouUNSPECIFIEDhttps://orcid.org/0000-0002-4315-366XUNSPECIFIED
Burger, RobertUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Bustamante Gomez, SamuelUNSPECIFIEDhttps://orcid.org/0000-0002-7923-8307UNSPECIFIED
Butterfass, JörgUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
den Exter, EmielUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Friedl, WernerUNSPECIFIEDhttps://orcid.org/0000-0003-3002-7274UNSPECIFIED
Gumpert, ThomasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Pavelski, Pedro HenriqueUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Quere, GabrielUNSPECIFIEDhttps://orcid.org/0000-0002-1788-3685UNSPECIFIED
Schmidt, FlorianUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Albu-Schäffer, Alin OlimpiuUNSPECIFIEDhttps://orcid.org/0000-0001-5343-9074179109760
Bauer, Adrian SimonUNSPECIFIEDhttps://orcid.org/0000-0002-1171-4709UNSPECIFIED
Leidner, DanielUNSPECIFIEDhttps://orcid.org/0000-0001-5091-7122UNSPECIFIED
Schmaus, PeterUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Hagengruber, AnnetteUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Krueger, ThomasUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Vogel, JörnUNSPECIFIEDhttps://orcid.org/0000-0002-1987-0028UNSPECIFIED
Lii, Neal Yi-ShengUNSPECIFIEDUNSPECIFIEDUNSPECIFIED
Date:26 February 2025
Journal or Publication Title:Science Robotics
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:Yes
Volume:10
DOI:10.1126/scirobotics.adq1703
Publisher:American Association for the Advancement of Science (AAAS)
ISSN:2470-9476
Status:Published
Keywords:compliance control, human-robot interaction, teleoperation
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Robotics
DLR - Research area:Raumfahrt
DLR - Program:R RO - Robotics
DLR - Research theme (Project):R - Telerobotics
Location: Oberpfaffenhofen
Institutes and Institutions:Institute of Robotics and Mechatronics (since 2013)
Institute of Robotics and Mechatronics (since 2013) > Analysis and Control of Advanced Robotic Systems
Deposited By: Panzirsch, Michael
Deposited On:28 Feb 2025 10:41
Last Modified:03 Mar 2025 10:09

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