Exoskeleton Robot Project

Participated in the exoskeleton robot project led by Professor Hong Cheng, Associate Dean and Professor of the School of Automation Engineering, which has been awarded the first batch of medical device registration certificates in China and received the prestigious "Outstanding Domestic Medical Equipment" award in 2020.
Independently designed a mechanical structure that integrates the positioning of both a LiDAR and a depth camera, ensuring a single degree of freedom for the depth camera to facilitate subsequent optimal camera orientation adjustments. Developed a pipeline to transform point cloud data into 3D models for use in MuJoCo. This work is crucial for establishing a robust simulation platform that will facilitate the research team's studies in reinforcement learning and motion planning.