Iskandar, Maged and Eiberger, Oliver and Albu-Schäffer, Alin Olimpiu and De Luca, Alessandro and 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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Official URL: https://ieeexplore.ieee.org/document/9561677
Abstract
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.
| Item URL in elib: | https://elib.dlr.de/144160/ | ||||||||||||||||||||||||
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| Document Type: | Conference or Workshop Item (Lecture, Speech) | ||||||||||||||||||||||||
| Title: | Collision Detection, Identification, and Localization on the DLR SARA Robot with Sensing Redundancy | ||||||||||||||||||||||||
| Authors: |
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| Date: | 2021 | ||||||||||||||||||||||||
| Journal or Publication Title: | 2021 IEEE International Conference on Robotics and Automation, ICRA 2021 | ||||||||||||||||||||||||
| Refereed publication: | Yes | ||||||||||||||||||||||||
| Open Access: | Yes | ||||||||||||||||||||||||
| Gold Open Access: | No | ||||||||||||||||||||||||
| In SCOPUS: | Yes | ||||||||||||||||||||||||
| In ISI Web of Science: | Yes | ||||||||||||||||||||||||
| DOI: | 10.1109/ICRA48506.2021.9561677 | ||||||||||||||||||||||||
| ISSN: | 1050-4729 | ||||||||||||||||||||||||
| ISBN: | 978-172819077-8 | ||||||||||||||||||||||||
| Status: | Published | ||||||||||||||||||||||||
| Keywords: | collision detection, collision identification, collision localization, robot safety, human-robot collaboration, physical human robot interaction, momentum-based observer, real-time contact point localization | ||||||||||||||||||||||||
| Event Title: | 2021 IEEE International Conference on Robotics and Automation (ICRA) | ||||||||||||||||||||||||
| Event Location: | Xi' an, China | ||||||||||||||||||||||||
| Event Type: | international Conference | ||||||||||||||||||||||||
| Event Start Date: | 30 May 2021 | ||||||||||||||||||||||||
| Event End Date: | 5 June 2021 | ||||||||||||||||||||||||
| Organizer: | IEEE | ||||||||||||||||||||||||
| 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 - Lightweight robotics [RO], R - Robot Dynamics & Simulation [RO] | ||||||||||||||||||||||||
| Location: | Oberpfaffenhofen | ||||||||||||||||||||||||
| Institutes and Institutions: | Institute of Robotics and Mechatronics (since 2013) > Analysis and Control of Advanced Robotic Systems | ||||||||||||||||||||||||
| Deposited By: | Iskandar, Maged Samuel Zakri | ||||||||||||||||||||||||
| Deposited On: | 07 Oct 2021 09:43 | ||||||||||||||||||||||||
| Last Modified: | 04 Feb 2025 09:25 |
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