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This report describes our winning submission to the Real Robot Challenge (https://real-robot-challenge.com/).
A mathematical introduction to robotic manipulation
Richard M Murray, Zexiang Li, S Shankar Sastry, and S Shankara Sastry · 1994
Earlier work this paper cites.
Probabilistic roadmaps for path planning in high-dimensional configuration spaces
L. E. Kavraki, P. Svestka, J. . Latombe, and M. H. Overmars · 1996
Earlier work this paper cites.
Rapidly-exploring random trees: A new tool for path planning
Steven M LaValle · 1998
Earlier work this paper cites.
Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
Earlier work this paper cites.
Domain randomization for transferring deep neural networks from simulation to the real world
Josh Tobin, Rachel Fong, Alex Ray, Jonas Schneider, Wojciech Zaremba, and Pieter Abbeel · 2017
Cited alongside, same era.
Sim-to-real transfer of robotic control with dynamics randomization
Xue Bin Peng, Marcin Andrychowicz, Wojciech Zaremba, and Pieter Abbeel · 2018
Cited alongside, same era.
Tom Silver, Kelsey R. Allen, Joshua B. Tenenbaum, and Leslie Pack Kaelbling · 2018
Cited alongside, same era.
Sim-to-real: Learning agile locomotion for quadruped robots
Jie Tan, Tingnan Zhang, Erwin Coumans, Atil Iscen, Yunfei Bai, Danijar Hafner, Steven Bohez, and Vincent Vanhoucke · 2018
Later among the works it cites.
Residual reinforcement learning for robot control
Tobias Johannink, Shikhar Bahl, Ashvin Nair, Jianlan Luo, Avinash Kumar, Matthias Loskyll, Juan Aparicio Ojea, Eugen Solowjow, and Sergey Levine · 2019
Later among the works it cites.
Trifinger: An open-source robot for learning dexterity
Manuel Wüthrich, Felix Widmaier, Felix Grimminger, Joel Akpo, Shruti Joshi, Vaibhav Agrawal, Bilal Hammoud, Majid Khadiv, Miroslav Bogdanovic, Vincent Berenz, et al · 2020
Later among the works it cites.
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