I'm an graduate student in Electrical and Computer Engineering at the UIUC.
My work focuses on robotics, control, and embodied AI, especially integrating
reinforcement learning with real-world robotic systems and bio-inspired sensors.
- Reinforcement Learning for robotic control
- Dexterous manipulation (Shadow Hand)
- Nonholonomic robot navigation & cul-de-sac escape
- Bio-inspired underwater whisker sensors
- Embodied AI / humanoid robotics
Bio-inspired PDMS + silicon-gauge whisker sensor for underwater flow sensing under turbidity and darkness.
π Paper:
A Bio-Inspired Whisker Sensor toward Underwater Flow Sensing in Darkness and Turbidity
A deep RL controller that enables a nonholonomic car-like robot to escape narrow cul-de-sacs using forwardβreverse maneuver sequencing.
π Paper:
Nonholonomic Narrow Dead-End Escape with Deep RL
Training a 24-DoF Shadow Dexterous Hand using PPO for grasping and in-hand manipulation.
Developed a real-world mobile manipulation system integrating ROS 2 navigation, dual-arm manipulation, multi-camera perception, SmolVLA, and Qwen-based task planning.
Code: xlerobot_lerobot
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- Email: denghan2@illinois.edu
Thanks for visiting my page!





