Robot Learning · Autonomous Flight · Perception & Control
FeisiLab · Changsha, China
Repositories · Robot Learning · Email
My interests span robot learning, motion planning, and control. I work on practical robotics pipelines, from simulation workspaces to learning and deployment on real hardware.
- RMUA National First Prize
- RM AWARD Candidate
- RM AWARD Algorithm Nomination Award
An end-to-end RL Token pipeline for the SO-101 arm: demonstration collection, π0.5 fine-tuning, critical-phase detection, online reinforcement learning on real hardware, and deployment.
VLA baseline (left) / RL Token policy (right) · SO-101 real-hardware demo
Python · PyTorch · LeRobot · Vision-Language-Action · Online RL
A UAV controller testing and deployment framework spanning SITL simulation, HITL validation, and real-world flight.
Circle (left) · Figure-8 (right)
| Project | Focus |
|---|---|
| Rflysim_fastlio_ws | FAST-LIO and LiDAR localization workspace for RflySim.C++ · ROS · Livox · State Estimation |
| Rflysim_fuel_ws | UAV planning and simulation workspace with LiDAR and depth-camera launch workflows.ROS · RflySim · Planning · Simulation |
| Area | Interests |
|---|---|
| Robot Learning | VLA models · Reinforcement learning · Robot manipulation |
| Planning & Control | Motion planning · MPC / NMPC · Trajectory tracking |
| Perception & Systems | LiDAR localization · ROS / ROS 2 · PX4 · Simulation |
Reading & Exploration
These upstream open-source projects are part of my reading and learning, not my original work.
- Navigation: NeuPAN · NavRL · ViPlanner
- Control: Intent-MPC · Avoid-MPC · PX4 MPC
- Learning to Fly: SimpleFlight · Isaac Lab Hover
Perceive. Plan. Learn. Act.
More experiments · siweizheng03@163.com






