During physical human robot collaboration, it is important to be able to implement a time-varying interactive behaviour while ensuring robust stability. Admittance control and passivity theory can be exploited for achieving these objectives. Nevertheless, when the admittance dynamics is time-varying, it can happen that, for ensuring a passive and stable behaviour, some spurious dissipative effects have to be introduced in the admittance dynamics. These effects are perceived by the user and degrade the collaborative performance. In this paper we exploit the task redundancy of the manipulator in order to harvest energy in the null space and to avoid spurious dynamics on the admittance. The proposed architecture is validated by simulations and by experiments onto a collaborative robot.

A Null-space based Approach for a Safe and Effective Human-Robot Collaboration / Benzi, F., Secchi, C.. - 2022-:(2022), pp. 3694-3700. (2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022 jpn 2022) [10.1109/IROS47612.2022.9981682].

A Null-space based Approach for a Safe and Effective Human-Robot Collaboration

Benzi F.;Secchi C.
2022

Abstract

During physical human robot collaboration, it is important to be able to implement a time-varying interactive behaviour while ensuring robust stability. Admittance control and passivity theory can be exploited for achieving these objectives. Nevertheless, when the admittance dynamics is time-varying, it can happen that, for ensuring a passive and stable behaviour, some spurious dissipative effects have to be introduced in the admittance dynamics. These effects are perceived by the user and degrade the collaborative performance. In this paper we exploit the task redundancy of the manipulator in order to harvest energy in the null space and to avoid spurious dynamics on the admittance. The proposed architecture is validated by simulations and by experiments onto a collaborative robot.
2022
no
Inglese
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022
jpn
2022
Proceedings of the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems
2022-
3694
3700
9781665479271
Institute of Electrical and Electronics Engineers Inc.
345 E 47TH ST, NEW YORK, NY 10017 USA
Benzi, F.; Secchi, C.
Atti di CONVEGNO::Relazione in Atti di Convegno
273
2
A Null-space based Approach for a Safe and Effective Human-Robot Collaboration / Benzi, F., Secchi, C.. - 2022-:(2022), pp. 3694-3700. (2022 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022 jpn 2022) [10.1109/IROS47612.2022.9981682].
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info:eu-repo/semantics/conferenceObject
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/1368063
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