Precision Robotics × Deep Reinforcement Learning ·
Team Lead: @ZiangZheng · THU
We build adaptive, deployable motion intelligence for real-world robots.
Reinforcement Learning × Control × Hardware, with a focus on
manipulation, whole-body behaviors, and Sim2Real deployment. Details in 🌐 Website 💬 Discussion
📬 Mail: ziang_zheng@foxmail.com 💬 Wechat: interval_package
| RedNote | WeChat Group 1 | WeChat Group 2 |
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🚀 Open Positions — Join Us
Roles
- RL Intern
- Robotics Engineer Intern
- Motion Planning Engineer
We are continuously looking for motivated students and engineers passionate about learning-based control and real-world robotic systems.
Feel free to contact~ 📬 Mail: ziang_zheng@foxmail.com
🌟 Awesome Repositories We Build
| Repository | Description | Stars |
|---|---|---|
| beyondAMP | Advanced motion priors and AMP-style policy learning framework |  |
| trackerLab | High-performance motion tracking and control utilities |  |
| genesislab | Isaaclab but on genesis! Fast and simple |  |
| MultiModalWBC | Multi-modal whole-body control framework |  |
| IsaacNPC | Character and behavior control in Isaac-based simulation |  |
| soccerWeber | Humanoid soccer behavior learning framework |  |
| soccerLab | Experimental research platform for robot soccer |  |
| assetslib | Shared robotics assets and configuration library |  |
| robotlib | Core robotics utilities and reusable system components |  |
