A Master's student focusing on Embodied Intelligence, Humanoid Robot Navigation and Control, and Loco-manipulation for Legged Robot . I bridge the gap between advanced Control Theory and Deep Reinforcement Learning to make robots move naturally and robustly.
π Master Student at Southern University of Science and Technology (SUSTech) π Dual B.Eng. in Computer Science(OUC) & Robotics Engineering(HWU) | Former Research Intern at Heriot-Watt University.
π Personal Website (Coming Soon) Β· LinkedIn Β· Email
- Frameworks: Model Predictive Control (MPC), Whole-Body Control (WBC), Reinforcement Learning (RL)
- Simulation & Physics: Pinocchio, Crocoddyl, IsaacLab / Isaac Sim, MuJoCo, Gazebo
- Languages: C++, Python, MATLAB, Java
- Highlights: ICPC (International Collegiate Programming Contest) NWERC 2025 Regional Competitor
- Description: Developing advanced control frameworks combining RL-guided MPC for dynamic locomotion.
- Tech Stack:
Python/C++/Pinocchio/Crocoddyl/IsaacaLab - Status: Active Research π οΈ
- Description: Algorithms, data structures, and solved problems from ICPC and other competitive programming platforms.
- Tech Stack:
Modern C++
β‘ βThe best way to predict the future is to implement it.β