Zhaosheng Li

University of Chinese Academy of Sciences

Papers

Total Citations

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About

Zhaosheng Li is a robotics researcher whose work bridges the critical gap between automated manufacturing and intelligent locomotion systems. His primary research areas include robotic path planning for precision surface finishing and bio-inspired locomotion control for legged robots. Li’s major contributions lie in developing off-line programming systems that generate optimized tool paths for robotic polishing of free-form surfaces—a challenge central to industries like aerospace and mold manufacturing, where surface quality directly impacts product reliability and performance. His 2019 paper on path generation for robotic polishing (4 citations) introduced a system that extracts CAD data from STL files and employs direction-parallel path patterns to reduce computational complexity. In parallel, Li has advanced quadruped robot locomotion through a Hopf oscillator-based Central Pattern Generator (CPG) network, enabling smooth gait transitions by controlling phase relationships—a key step toward more agile and stable legged robots. While his citation counts are still growing, Li’s work demonstrates a clear trajectory of impact, addressing fundamental challenges in both industrial automation and robotics. His research is particularly notable for its practical orientation, directly targeting real-world manufacturing constraints while exploring biologically inspired control architectures.