2 citations · 2 across the 5 of their papers we have counts for
5 papers · 1 filter
A Real-World Quadrupedal Locomotion Benchmark for Offline Reinforcement Learning
Hongyin Zhang, Shuyu Yang, Donglin Wang
Online reinforcement learning (RL) methods are often data-inefficient or unreliable, making them difficult to train on real robotic hardware, especially quadruped robots. Learning…
Imitation and Adaptation Based on Consistency: A Quadruped Robot Imitates Animals from Videos Using Deep Reinforcement Learning
Qingfeng Yao, Jilong Wang, Shuyu Yang +4
The essence of quadrupeds' movements is the movement of the center of gravity, which has a pattern in the action of quadrupeds. However, the gait motion planning of the quadruped r…
A Transferable Legged Mobile Manipulation Framework Based on Disturbance Predictive Control
Qingfeng Yao, Jilong Wan, Shuyu Yang +4
Due to their ability to adapt to different terrains, quadruped robots have drawn much attention in the research field of robot learning. Legged mobile manipulation, where a quadrup…
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…
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…