339 citations · 423 across the 9 of their papers we have counts for
Showing 2020Show all
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cs.RO2020★ 21 cited
Learning 3D Dynamic Scene Representations for Robot Manipulation
Zhenjia Xu, Zhanpeng He, Jiajun Wu +1
3D scene representation for robot manipulation should capture three key object properties: permanency -- objects that become occluded over time continue to exist; amodal completene…
cs.RO2020★ 9 cited
Hardware as Policy: Mechanical and Computational Co-Optimization using Deep Reinforcement Learning
Tianjian Chen, Zhanpeng He, Matei Ciocarlie
Deep Reinforcement Learning (RL) has shown great success in learning complex control policies for a variety of applications in robotics. However, in most such cases, the hardware o…
cs.RO2020★ 1 cited
SQUIRL: Robust and Efficient Learning from Video Demonstration of Long-Horizon Robotic Manipulation Tasks
Bohan Wu, Feng Xu, Zhanpeng He +2
Recent advances in deep reinforcement learning (RL) have demonstrated its potential to learn complex robotic manipulation tasks. However, RL still requires the robot to collect a l…