whoami
Hi, I'm Ningwei Bai.
Bio
I am Ningwei Bai, a fourth-year Robotics and AI (MEng) student at University College London. My interests sit around robotics, reinforcement learning, vision-language-action models, and post-training for reasoning large language models.
Outside research, I am also a coffee person with an SCA Intermediate Barista certificate. I like building things carefully, whether that means a robot policy, a small web tool, or a cup of coffee that actually tastes like the idea in my head.
CV Snapshot
Education
- University College London, Robotics and AI (MEng), London, UK Sep 2023 - Jun 2027 expected; integrated undergraduate and master's programme; average score 79.5%.
Research Interests
- Reinforcement learning for robotics and nonlinear control systems.
- Vision-language-action models for robotic manipulation.
- Adaptive dynamic programming, reasoning LLM post-training, and multimodal retrieval.
Selected Publications
- SignVLA: real-time sign language-guided robotic manipulation via Attention LSTM and VLA models. ICAC 2026, accepted.
- An Event-Triggered Robust Reinforcement Learning Scheme for Nonlinear Systems with Unknown Disturbances. CCC 2026, accepted.
- Reinforcement learning based optimal control: a survey of ADP for manipulators and wheeled mobile robots. Advanced Mechatronics, accepted.
- Zero-shot Decomposed Retrieval Enhancement for Visually Rich Document via Broad Search and Deep Reasoning.
- Post-Training for Reasoning LLMs with Reinforcement Learning: A Stability-Efficiency Perspective. ICAC 2026, accepted.
Research Experience
- Vision-Language-Action Model Control by Sign Language Deployed NVIDIA GR00T on a robotic manipulator, built a MediaPipe Hands gesture feature pipeline, and connected sign language understanding to VLA model commands.
- Reinforcement Learning for Nonlinear Control Systems Combined event-triggered mechanisms, extended state observers, and adaptive dynamic programming to reduce redundant updates while preserving control performance.
- Visual RAG Systems Designed a zero-shot multimodal query decomposition method for visually rich document retrieval, improving Recall@1 in experiments.
Projects
- BabyBench Infant Self-Touch RL: built a Mujoco-based self-touch learning environment and trained early exploration behavior with PPO.
- ROS-based Human-Following Agricultural Robot Platform: developed an agricultural robot vehicle platform on ROS capable of following human movement for field assistance.
- Emotion-Aware AI Intelligent Photo Album: fine-tuned dialogue and expression-recognition components with Qwen, YOLO, ResNet50, and Gradio.
- 7-DOF Robotic Arm Simulation: a self-recorded course on MATLAB / Simulink-based 7-DOF robotic arm simulation, covering kinematics, dynamics, control-system design, and modelling practice.
Skills
Python, PyTorch, C, C++, Matlab, Simulink, ROS, ROS2, Linux, STM32 HAL, Solidworks, Fusion 360, Docker, HTML, JavaScript, React, PostgreSQL.