Payload estimation based on identified coefficients of robot dynamics - With an application to collision detection

Claudio Gaz; Alessandro De Luca

doi:10.1109/IROS.2017.8206142

Payload estimation based on identified coefficients of robot dynamics - With an application to collision detection

Claudio Gaz
, Alessandro De Luca

University of Rome La Sapienza

Research output: Contribution to conference › Paper › peer-review

Original language	English
DOIs	https://doi.org/10.1109/IROS.2017.8206142
Publication status	Published - 26 Sept 2017
Event	2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017) - Vancouver, Canada Duration: 24 Sept 2017 → 28 Sept 2017

Conference

Conference	2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017)
Period	24/09/17 → 28/09/17

Bibliographical note

Note: Published in: 2017, Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) : Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp. 3033-3040. Article number 8206142, ISSN (online) 2153-0858, ISBN (online) 9781538626825

Organising Body: IEEE

Keywords

Mechanical, aeronautical and manufacturing engineering

Access to Document

10.1109/IROS.2017.8206142

https://doi.org/10.1109/IROS.2017.8206142

Payload estimation based on identified coefficients of robot dynamics - With an application to collision detection
Gaz, C. & De Luca, A., 26 Sept 2017, Published in: 2017, Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) : Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp. 3033-3040. Article number 8206142, ISSN (online) 2153-0858, ISBN (online) 9781538626825 Organising Body: IEEE Organising Body: IEEE. p. 3033-3040
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Cite this

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note = "Note: Published in: 2017, Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) : Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp. 3033-3040. Article number 8206142, ISSN (online) 2153-0858, ISBN (online) 9781538626825 Organising Body: IEEE; 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017) ; Conference date: 24-09-2017 Through 28-09-2017",

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