[CoRL 2022] Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion
Develop a unified control system for robots that can handle both movement and manipulation tasks.
Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.
Get an email alert on its next release or when it starts trending — never miss the moment.
Free · no card · unsubscribe anytime[CoRL 2022] Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion
Deep-Whole-Body-Control has 393 stars on GitHub. It has been forked 32 times. Deep-Whole-Body-Control is written mainly in Python. It has been in active development since 2022. Its main topics are deep-learning, locomotion, pytorch, reinforcement-learning.
[CoRL 2022] Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion
Deep-Whole-Body-Control is an open-source project.
Yes. Deep-Whole-Body-Control is free and open source — you can use, modify and self-host it.
Deep-Whole-Body-Control is written mainly in Python.
Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.
[](https://olud.ai/project/markfzp-deep-whole-body-control.html)
Measured from GitHub topics shared by both projects, weighted by how rare each topic is.