Force, Impedance, and Trajectory Learning for Contact Tooling and Haptic Identification

Li Y, Ganesh G, Jarrasse N, Haddadin S, Albu-Schaeffer A, Burdet E (2018)
IEEE Transactions on Robotics 34(5): 1170-1182.

Zeitschriftenaufsatz | Veröffentlicht| Englisch
 
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Autor*in
Li, Yanan; Ganesh, Gowrishankar; Jarrasse, Nathanael; Haddadin, Sami; Albu-Schaeffer, Alin; Burdet, Etienne
Einrichtung
Erscheinungsjahr
2018
Zeitschriftentitel
IEEE Transactions on Robotics
Band
34
Ausgabe
5
Seite(n)
1170-1182
eISSN
1552-3098, 1941-0468
Page URI
https://pub.uni-bielefeld.de/record/2932364

Zitieren

Li Y, Ganesh G, Jarrasse N, Haddadin S, Albu-Schaeffer A, Burdet E. Force, Impedance, and Trajectory Learning for Contact Tooling and Haptic Identification. IEEE Transactions on Robotics. 2018;34(5):1170-1182.
Li, Y., Ganesh, G., Jarrasse, N., Haddadin, S., Albu-Schaeffer, A., & Burdet, E. (2018). Force, Impedance, and Trajectory Learning for Contact Tooling and Haptic Identification. IEEE Transactions on Robotics, 34(5), 1170-1182. doi:10.1109/tro.2018.2830405
Li, Y., Ganesh, G., Jarrasse, N., Haddadin, S., Albu-Schaeffer, A., and Burdet, E. (2018). Force, Impedance, and Trajectory Learning for Contact Tooling and Haptic Identification. IEEE Transactions on Robotics 34, 1170-1182.
Li, Y., et al., 2018. Force, Impedance, and Trajectory Learning for Contact Tooling and Haptic Identification. IEEE Transactions on Robotics, 34(5), p 1170-1182.
Y. Li, et al., “Force, Impedance, and Trajectory Learning for Contact Tooling and Haptic Identification”, IEEE Transactions on Robotics, vol. 34, 2018, pp. 1170-1182.
Li, Y., Ganesh, G., Jarrasse, N., Haddadin, S., Albu-Schaeffer, A., Burdet, E.: Force, Impedance, and Trajectory Learning for Contact Tooling and Haptic Identification. IEEE Transactions on Robotics. 34, 1170-1182 (2018).
Li, Yanan, Ganesh, Gowrishankar, Jarrasse, Nathanael, Haddadin, Sami, Albu-Schaeffer, Alin, and Burdet, Etienne. “Force, Impedance, and Trajectory Learning for Contact Tooling and Haptic Identification”. IEEE Transactions on Robotics 34.5 (2018): 1170-1182.