[Paper Notes] ACT: Imitation Learning for Bimanual Manipulation with Low-Cost Hardware
A Stanford University bimanual imitation learning system with a full hardware and software stack that enables fine manipulation on low-cost, imprecise hardware.
Robot Learning
9 posts
[Simulation Experiment] Reproducing the robomimic Project
robomimic is a framework for robot learning from demonstrations. The project provides a range of demonstration data for robot manipulation and offline learning algorithms, enabling standardized testing of tasks and algorithms.
[Course Notes] Stanford CS25 V2 - Robotics and Imitation Learning
A lecture from Stanford CS25 V2 on robot learning, presented by a Google Brain engineer.
[Paper Notes] Residual Skill Policies: Learning an Adaptable Skill-based Action Space for Reinforcement Learning for Robotics
A skill-unit-based reinforcement learning method that decomposes tasks into skills, establishes mappings between skills and states, and learns a skill-selection policy
[Paper Notes] DEX: Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot
A surgical robot reinforcement learning method based on an improved DDPG+BC approach, developed by Yun-Hui Liu's team at The Chinese University of Hong Kong
[Paper Notes] Robot Motion Imitation with Reinforcement Learning
Survey and notes on reinforcement learning-based robot motion imitation methods.
[Paper Reproduction] MimicPlay: Learning Robot Skills from Human Demonstrations
A long-horizon imitation learning method from Fei-Fei Li's team at Stanford University that learns by watching human actions.
【Motion Imitation】Robot Motion Planning Methods Learned from Human Demonstrations
A survey of research on methods for robot motion generation and planning learned from videos of humans grasping objects.
【Grasping by Imitation】Learning Robotic Grasping from Human Demonstrations
A survey of research on robotic grasping learned from videos of humans grasping objects.