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

University of Rome La Sapienza

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Original language	English
Title of host publication	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
Pages	1386-1392
DOIs	https://doi.org/10.1109/ICRA.2014.6907033
Publication status	Published - 2 Jun 2014

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

Organising Body: IEEE

Keywords

Computer science and informatics

Access to Document

10.1109/ICRA.2014.6907033

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

Identifying the dynamic model used by the KUKA LWR: a reverse engineering approach
Gaz, C., Flacco, F. & De Luca, A., 2 Jun 2014.
Research output: Contribution to conference › Paper › peer-review

Cite this

Gaz, C., Flacco, F., & De Luca, A. (2014). Identifying the dynamic model used by the KUKA LWR: a reverse engineering approach. In 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 (pp. 1386-1392) https://doi.org/10.1109/ICRA.2014.6907033

Gaz, Claudio ; Flacco, Fabrizio ; De Luca, Alessandro. / Identifying the dynamic model used by the KUKA LWR : a reverse engineering approach. 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. 2014. pp. 1386-1392

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Gaz, C, Flacco, F & De Luca, A 2014, Identifying the dynamic model used by the KUKA LWR: a reverse engineering approach. in 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. pp. 1386-1392. https://doi.org/10.1109/ICRA.2014.6907033

Identifying the dynamic model used by the KUKA LWR: a reverse engineering approach. / Gaz, Claudio; Flacco, Fabrizio; De Luca, Alessandro.
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. 2014. p. 1386-1392.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Gaz C, Flacco F, De Luca A. Identifying the dynamic model used by the KUKA LWR: a reverse engineering approach. In 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. 2014. p. 1386-1392 doi: 10.1109/ICRA.2014.6907033