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.

• Deep Reinforcement Learning
  Policy optimization · World models · Offline & constrained RL

• Motion Control & Planning
  Robust controllers · Whole-body control · Real-time optimization

• Sim2Real Systems
  Simulation pipelines · Calibration · On-robot deployment

RL Intern · Robotics Engineer Intern · Motion Planning Engineer

We are continuously looking for motivated students and engineers interested in learning-based control and real-world robotic systems.

📬 Contact: [email protected]
🌐 Website: https://renforce-dynamics.github.io
💬 Discussion: https://github.com/Renforce-Dynamics/.github/blob/main/discussions.md

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