2 citations · 2 across the 5 of their papers we have counts for
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cs.RO2021
Real-World Dexterous Object Manipulation based Deep Reinforcement Learning
Qingfeng Yao, Jilong Wang, Shuyu Yang
Deep reinforcement learning has shown its advantages in real-time decision-making based on the state of the agent. In this stage, we solved the task of using a real robot to manipu…
cs.RO2021★ 2 cited
Real Robot Challenge: A Robotics Competition in the Cloud
Stefan Bauer, Felix Widmaier, Manuel Wüthrich +39
Dexterous manipulation remains an open problem in robotics. To coordinate efforts of the research community towards tackling this problem, we propose a shared benchmark. We designe…