MarkFzp/Deep-Whole-Body-Control
[CoRL 2022] Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion
This project helps robotics researchers develop sophisticated control policies for robots that need to both move around and interact with objects. It provides a framework for training a single control system that takes in sensory information about the robot's environment and desired tasks, and outputs unified commands for all of the robot's joints to achieve complex manipulation and locomotion simultaneously. Robotics engineers and research scientists working on advanced robot behaviors would use this.
354 stars. No commits in the last 6 months.
Use this if you are developing or studying control systems for robots that perform tasks requiring both movement and object interaction, and you want to explore unified learning approaches.
Not ideal if you are looking for an out-of-the-box solution for a specific industrial robot task or a simple motion planning tool for purely navigational purposes.
Stars
354
Forks
32
Language
Python
License
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Category
Last pushed
Jan 17, 2024
Commits (30d)
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