Iskandar, Maged und Eiberger, Oliver und Albu-Schäffer, Alin und De Luca, Alessandro und Dietrich, Alexander (2021) Collision Detection, Identification, and Localization on the DLR SARA Robot with Sensing Redundancy. In: 2021 IEEE International Conference on Robotics and Automation, ICRA 2021. 2021 IEEE International Conference on Robotics and Automation (ICRA), 2021-05-30 - 2021-06-05, Xi' an, China. doi: 10.1109/ICRA48506.2021.9561677. ISBN 978-172819077-8. ISSN 1050-4729.
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Offizielle URL: https://ieeexplore.ieee.org/document/9561677
Kurzfassung
Physical human-robot interaction is known to be a crucial aspect in modern lightweight robotics. Herein, the estimation of external interactions is essential for the effective and safe collaboration. In this work, an extended momentum-based disturbance observer is presented which includes the sensing redundancy related to additional force-torque measurements. The observer eliminates the need for acceleration measurements/estimates and it is able to accurately reconstruct multiple simultaneous contact locations. Moreover, it provides uncoupled, configuration-independent, and singularity-free estimates of the external forces. The performance of the approach is experimentally validated on the SARA robot, the new generation of DLR lightweight robots, involving high resolution force-torque sensors in a redundant arrangement.
elib-URL des Eintrags: | https://elib.dlr.de/144160/ | ||||||||||||||||||||||||
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Dokumentart: | Konferenzbeitrag (Vorlesung, Vortrag) | ||||||||||||||||||||||||
Titel: | Collision Detection, Identification, and Localization on the DLR SARA Robot with Sensing Redundancy | ||||||||||||||||||||||||
Autoren: |
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Datum: | 2021 | ||||||||||||||||||||||||
Erschienen in: | 2021 IEEE International Conference on Robotics and Automation, ICRA 2021 | ||||||||||||||||||||||||
Referierte Publikation: | Ja | ||||||||||||||||||||||||
Open Access: | Ja | ||||||||||||||||||||||||
Gold Open Access: | Nein | ||||||||||||||||||||||||
In SCOPUS: | Ja | ||||||||||||||||||||||||
In ISI Web of Science: | Ja | ||||||||||||||||||||||||
DOI: | 10.1109/ICRA48506.2021.9561677 | ||||||||||||||||||||||||
ISSN: | 1050-4729 | ||||||||||||||||||||||||
ISBN: | 978-172819077-8 | ||||||||||||||||||||||||
Status: | veröffentlicht | ||||||||||||||||||||||||
Stichwörter: | collision detection, collision identification, collision localization, robot safety, human-robot collaboration, physical human robot interaction, momentum-based observer, real-time contact point localization | ||||||||||||||||||||||||
Veranstaltungstitel: | 2021 IEEE International Conference on Robotics and Automation (ICRA) | ||||||||||||||||||||||||
Veranstaltungsort: | Xi' an, China | ||||||||||||||||||||||||
Veranstaltungsart: | internationale Konferenz | ||||||||||||||||||||||||
Veranstaltungsbeginn: | 30 Mai 2021 | ||||||||||||||||||||||||
Veranstaltungsende: | 5 Juni 2021 | ||||||||||||||||||||||||
Veranstalter : | IEEE | ||||||||||||||||||||||||
HGF - Forschungsbereich: | Luftfahrt, Raumfahrt und Verkehr | ||||||||||||||||||||||||
HGF - Programm: | Raumfahrt | ||||||||||||||||||||||||
HGF - Programmthema: | Robotik | ||||||||||||||||||||||||
DLR - Schwerpunkt: | Raumfahrt | ||||||||||||||||||||||||
DLR - Forschungsgebiet: | R RO - Robotik | ||||||||||||||||||||||||
DLR - Teilgebiet (Projekt, Vorhaben): | R - Leichtbau-Robotik [RO], R - Roboterdynamik & Simulation [RO] | ||||||||||||||||||||||||
Standort: | Oberpfaffenhofen | ||||||||||||||||||||||||
Institute & Einrichtungen: | Institut für Robotik und Mechatronik (ab 2013) > Analyse und Regelung komplexer Robotersysteme | ||||||||||||||||||||||||
Hinterlegt von: | Iskandar, Maged Samuel Zakri | ||||||||||||||||||||||||
Hinterlegt am: | 07 Okt 2021 09:43 | ||||||||||||||||||||||||
Letzte Änderung: | 24 Apr 2024 20:43 |
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