Da Wei Zheng

University of Illinois Urbana-Champaign, Intelligent Health (United Kingdom)

Papers

Total Citations

H-Index

About

Da Wei Zheng is a researcher whose work lies at the intersection of computational geometry, robotics, and automation. His most notable contribution comes from his winning performance in the CG:SHOP 2021 challenge, where he led team gitastrophe to first place in coordinated motion planning. His paper on this achievement, "Coordinated Motion Planning Through Randomized k-Opt," describes an innovative algorithm for finding optimal sequences of simultaneous moves for square robots, minimizing both total distance and makespan. This work has garnered 5 citations and demonstrates his ability to solve complex, real-world optimization problems. Zheng has also contributed to the field of industrial robotics with his paper "Design and Implementation of Programming-free Robot System Based on PLCopen," which introduces a novel approach to simplifying Cartesian robot motion control. By eliminating the need for traditional programming, this system enhances efficiency and versatility for operators. With a focus on practical, high-impact solutions, Da Wei Zheng’s research bridges theoretical algorithms and applied robotics, making him a rising figure in automated motion planning and control systems.