Hey there, I'm Junhang Lai 👋
Ph.D. candidate in robotics · Humanoid locomotion · Reinforcement learning · Sim-to-real
I am a Ph.D. candidate in Mechanical Engineering at Beijing Institute of Technology and a research intern at the Hong Kong University of Science and Technology (Guangzhou). I work on motion planning and control for humanoid and legged robots.
My research combines model-based optimization with learning-based control to produce reliable robot motion in simulation and on physical systems.
If you are interested in my work or would like to explore a collaboration, please contact me via email.
- Humanoid and wheel-biped multimodal locomotion planning and control
- Whole-body control, MPC, NMPC, trajectory optimization, and rigid-body dynamics
- Reinforcement learning, imitation learning, motion retargeting, and state estimation
- Robot simulation, system integration, and sim-to-real deployment
- Embodied intelligence and cerebrum-cerebellum coordinated control
C |
C++ |
Python |
MATLAB |
PyTorch |
ROS |
CMake |
Linux |
Docker |
Hugo |
Git |
GitHub |
VS Code |
Bash |
CapCut |
Core tools include C++, Python, MATLAB, PyTorch, ONNX Runtime, Pinocchio, CasADi, Crocoddyl, OCS2, Isaac Gym/Sim, MuJoCo, ROS, EtherCAT, and RTOS-based robot software.
I maintain robotics software and reusable engineering tools through BitRoboticsLab. The projects focus on robot motion, simulation, control, and deployment workflows. Selected research, industry, and open-source work is documented on my personal website.
Cards combine repositories where Mr-tooth is an owner, organization member (including BitRoboticsLab), or collaborator. Language share reflects repository code, not overall technical proficiency.