I am an Mphil. student working on robot learning, reinforcement learning, locomotion control, and whole-body optimization.
My research focuses on developing generalizable and physically consistent motion intelligence for embodied agents, especially legged robots.
I'm also the team leader of Renforce-Dynamics, contribute to motion control society.
- π€ Robot Learning: reinforcement learning, dataset-constrained RL, safe RL
- π¦Ώ Locomotion & Whole-Body Control: latent motor policies, motion tracking, retargeting
- βοΈ Model-Based Control: MPC, Lagrangian neural networks, differentiable control
- π§ Embodied Simulation: IsaacLab, physics-based motion generation
- Website: https://ziangzheng.github.io/
- Email: [email protected]