I am a Research Intern at the Autonomous Robot Intelligence Laboratory (ARIL), focusing on Non-Line-of-Sight (NLoS) Object Detection.
I aim to achieve robust perception in autonomous systems by leveraging multi-modal sensor fusion (radar, camera, LiDAR, and acoustic) for Non-Line-of-Sight (NLoS) object detection and scene understanding.
Constructed a Sim-to-Real control system using ROS2 and OpenCR to deploy reinforcement learning models on a 3-finger gripper, while optimizing low-level PD parameters for stable physical actuation.
Developed an STM32-based BLDC motor controller with CAN/I2C integration, achieving stable elastic actuation via PD velocity control and reducing hardware friction by 37.7% through data-driven optimization.