Chuntao Zhang

North Minzu University, Hefei University of Technology

Papers

Total Citations

H-Index

About

Chuntao Zhang is a researcher specializing in industrial robotics, with a focus on motion planning and control systems for automated manufacturing. Their work addresses critical challenges in robotic manipulation, particularly in obstacle avoidance and precision polishing applications. Zhang's most cited paper, "Obstacle-Avoidance Path Planning of Robot Arm Based on Improved RRT Algorithm" (2023, 6 citations), tackles the inefficiencies of standard Rapidly-exploring Random Trees (RRT) algorithms in high-dimensional spaces, proposing enhancements to reduce sampling area, search time, and path redundancy for redundant robot arms. Another key contribution, "Design of an Industrial Robot Polishing Control System" (2021, 5 citations), develops a complete control system using a Links-RT semi-physical simulation controller, addressing functional requirements for industrial polishing tasks. These works demonstrate Zhang's ability to bridge theoretical algorithm improvements with practical system design, contributing to more efficient and reliable robotic automation. With a combined citation count of 11 for these two papers, Zhang's research is gaining recognition in the robotics community, offering valuable insights for students and researchers interested in advancing robot path planning and control in manufacturing environments.