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The accurate modeling of real-world systems and physical interactions is a common challenge towards the resolution of robotics tasks.
E. Freund and J. Pesara, “High-bandwidth force and impedance control for industrial robots,”
1998
Earlier work this paper cites.
C. Bouchard, M. Nesme, M. Tournier, B. Wang, F. Faure, and P. G. Kry, “6d frictional contact for rigid bodies,” in
2015
Earlier work this paper cites.
2016
Earlier work this paper cites.
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele, “The cityscapes dataset for semantic urban scene understanding,” in
2016
Cited alongside, same era.
A. Shahroudy, J. Liu, T.-T. Ng, and G. Wang, “Ntu rgb+d: A large scale dataset for 3d human activity analysis,” in
2016
Cited alongside, same era.
K. T. Yu, M. Bauza, N. Fazeli, and A. Rodriguez, “More than a million ways to be pushed. a high-fidelity experimental dataset of planar pushing,” in
2016
Cited alongside, same era.
T. Inoue, G. D. Magistris, A. Munawar, T. Yokoya, and R. Tachibana, “Deep reinforcement learning for high precision assembly tasks,” in
2017
Later among the works it cites.
T.-H. Pham, G. De Magistris, and R. Tachibana, “OptLayer - Practical Constrained Optimization for Deep Reinforcement Learning in the Real World,” in
2018
Closest in time.
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