Kaiyuan Wu

Papers

Total Citations

259

H-Index

About

Kaiyuan Wu is a leading researcher in robotics and intelligent manufacturing, with a primary focus on trajectory planning and motion control for industrial robots. His most influential work, the 2017 paper "Optimal time-jerk trajectory planning for industrial robots," has garnered over 259 citations, establishing a foundational framework for balancing operational speed with motion smoothness to reduce wear and energy consumption. Wu's contributions extend to optimizing robot performance in high-precision tasks, addressing critical challenges in automation and human-robot collaboration. His research has been widely adopted in both academic studies and practical applications, influencing the design of more efficient and reliable robotic systems. Through his innovative approaches, Wu has significantly advanced the field of robotics, making him a key figure in the development of next-generation industrial automation technologies.