Identifying the dynamic model used by the KUKA LWR: a reverse engineering approach

Claudio Gaz; Fabrizio Flacco; Alessandro De Luca

doi:10.1109/ICRA.2014.6907033

Identifying the dynamic model used by the KUKA LWR: a reverse engineering approach

Claudio Gaz
, Fabrizio Flacco
, Alessandro De Luca

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

Original language	English
DOIs	https://doi.org/10.1109/ICRA.2014.6907033
Publication status	Published - 2 Jun 2014
Event	2014 IEEE International Conference on Robotics and Automation (ICRA) - Hong Kong, China Duration: 31 May 2014 → 7 Jun 2014

Conference

Conference	2014 IEEE International Conference on Robotics and Automation (ICRA)
Period	31/05/14 → 7/06/14

Bibliographical note

Note: Published in: 2014, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2014) : Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp. 1386 - 1392. Article number 6907033, ISSN (online) 1050-4729, ISBN (online) 9781479936854

Organising Body: IEEE

Keywords

Computer science and informatics

Access to Document

10.1109/ICRA.2014.6907033

https://doi.org/10.1109/ICRA.2014.6907033

1 Conference contribution

Identifying the dynamic model used by the KUKA LWR: a reverse engineering approach
Gaz, C., Flacco, F. & De Luca, A., 2 Jun 2014, Published in: 2014, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2014) : Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp. 1386 - 1392. Article number 6907033, ISSN (online) 1050-4729, ISBN (online) 9781479936854 Organising Body: IEEE Organising Body: IEEE. p. 1386-1392
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Cite this

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title = "Identifying the dynamic model used by the KUKA LWR: a reverse engineering approach",

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N1 - Note: Published in: 2014, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA 2014) : Piscataway, U.S. : Institute of Electrical and Electronics Engineers, Inc. pp. 1386 - 1392. Article number 6907033, ISSN (online) 1050-4729, ISBN (online) 9781479936854 Organising Body: IEEE

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