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I am currently a Master's student in Artificial Intelligence at Shanghai Normal University. My work focuses on real-world Vision-Language-Action (VLA) systems and reinforcement-learning post-training for robotic manipulation. I build real-world pipelines from teleoperation and multi-camera data collection to policy fine-tuning, server-client deployment, and fixed-protocol evaluation. I also study how rollout, failure-recovery, and human-intervention experience can be converted into policy-update signals.

• Real-world VLA pipelines: Teleoperation, multi-camera episode collection, SFT / LoRA / full-parameter fine-tuning, and policy server-client deployment.
• VLA post-training: Reproducing and comparing noise-space steering, advantage-conditioned policy learning, online data distillation, and residual actor-critic methods.
• Evaluation & data flywheel: Tracking revisions, configurations, logs, checkpoints, and fixed evaluation protocols across LIBERO, MetaWorld, ManiSkill, and real robots.

• VLA Models & Data: LeRobot | π0.5 | GR00T N1.7 | SmolVLA | PEFT
• Robotics & Deployment: Unitree G1 | SOARM-101 | PICO / XR | LinkerHand L10 | RealSense | ROS / ROS2 | ZMQ | Action Chunking
• RL & Simulation: SAC | Residual Actor-Critic | LIBERO | MetaWorld | ManiSkill | Ray
• Deep Learning & Engineering: Python | PyTorch | Docker | Linux | Git | W&B
• 3D Vision: 3D Gaussian Splatting | Camera Localization

• 🧪 VLA Post-training Experiments
  • Reproductions of DSRL, RECAP, STEAM, FlowDAgger, and RL Token with tracked configurations, checkpoints, evaluation results, and explicit protocol boundaries.
• 🦾 Real-world VLA Systems
  • Built teleoperation, multi-camera data, training, and deployment pipelines for Unitree G1 + GR00T N1.7 and a dual-arm robot + π0.5; completed 20/20 in a fixed-scene G1 demo protocol and 18/20 full-task trials on the dual-arm task.
• 🤖 SOARM-101 × SmolVLA Pick-and-Place
  • Completed task SFT, failure-oriented demonstration supplementation, and a real-world inference loop, reaching 17/20 full-task successes across mixed object-and-target position combinations.
• 📄 GSplatLoc: Camera Localization via 3D Gaussian Splatting — First Author
  • Formulated camera pose estimation as optimization through differentiable 3DGS rendering; the accompanying GitHub repository has 90+ stars.

"From demonstrations to deployment-time policy improvement."