Structured learning of rigid‐body dynamics: A survey and unified view from a robotics perspective-Reference-Cited by-同舟云学术

Structured learning of rigid‐body dynamics: A survey and unified view from a robotics perspective

Published:2021-06 Issue:2 Volume:44 Page:
ISSN:0936-7195
Container-title:GAMM-Mitteilungen
language:en
Short-container-title:GAMM‐Mitteilungen

Author:

Geist A. René¹,Trimpe Sebastian¹²

Affiliation:

1. Intelligent Control Systems Group Max Planck Institute for Intelligent Systems Stuttgart Germany

2. Institute for Data Science in Mechanical Engineering RWTH Aachen University Aachen Germany

Publisher

Wiley

Subject

Applied Mathematics,General Physics and Astronomy,General Materials Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/gamm.202100009

Reference108 articles.

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2. A. A.AhmadiandB. E.Khadir Learning dynamical systems with side information Proceedings of the 2nd Conference on Learning for Dynamics and Control vol. 120 of Proceedings of Machine Learning Research PMLR The Cloud June 10–11 2020 pp. 718–727.

3. M. A.Alvarez L.Rosasco andN. D.Lawrence Kernels for vector‐valued functions: A review 2011 arXiv preprint arXiv:1106.6251.

4. C. H.An C. G.Atkeson andJ. M.Hollerbach Estimation of inertial parameters of rigid body links of manipulators Proceedings of the 1985 24th IEEE Conference on Decision and Control IEEE 1985 pp. 990–995.

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