| 🎯 Mission | Advance robotic motion control & planning via reinforcement learning |
| 🔍 Focus | Bridge AI algorithms with real-world robotic systems |
| 🌱 Vision | Build adaptive, efficient, and robust robotic motion solutions |
- 🤖 Robotic Motion Control
Optimize real-time responsiveness and stability for legged/arm robots - 🧠 Reinforcement Learning (RL)
Develop RL algorithms tailored for dynamic robotic environments - 📊 Motion Planning
Integrate RL with path planning for complex, unstructured scenarios
We’re eager to partner with researchers, engineers, and teams passionate about robotics & RL:
- 💡 Open to joint research projects on robotic motion control or RL algorithm design
- 📤 Welcome contributions to our open-source repositories (check project READMEs for guidelines)
- 🎤 Interested in sharing insights? Reach out for guest talks or workshop collaborations
Join us to build the next generation of robotic motion technology:
- RL Research Intern (focus on algorithm optimization for robotics)
- Robotics Engineer Intern (focus on hardware-software integration)
- Motion Planning Intern (full-time, for experienced candidates)
- 🌐 Organization Website: renforcedynamics.github.io
- 📧 Official Email: [email protected]
- 💬 GitHub Discussions: Comment on our projects or start a new thread
- 📢 Updates: Follow this repo for team news & project releases
💬 Let’s shape the future of robotic motion together! 🚀