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About

Buhai Shi is a researcher specializing in industrial robotics, with a focus on real-time control systems and trajectory optimization. His work addresses critical challenges in manufacturing automation, particularly in enhancing the precision and efficiency of six-axis industrial robots. Shi’s major contributions include designing a real-time communication solution based on the CANopen over EtherCAT protocol for robot control systems, which improves kinematic accuracy—a paper that has garnered 13 citations. He has also advanced time-optimal trajectory planning, proposing methods using improved hybrid particle swarm optimization (Hybrid-PSO) and golden section-based particle swarm optimization, with papers receiving 9 and 8 citations, respectively. These approaches significantly boost energy efficiency and operational speed in robotic systems. Additionally, Shi developed a NURBS piecewise interpolation algorithm with discrete S-type velocity planning, enabling robots to process complex curves with high contour accuracy (4 citations). His work is notable for integrating optimization algorithms with practical industrial applications, making him a key contributor to the field of robotic control and motion planning.