Chonghai Xu
Papers
2
Total Citations
11
H-Index
2
About
Chonghai Xu is a researcher specializing in robotics trajectory optimization and intelligent algorithms, with a particular focus on high-speed robotic positioning systems. His major contributions lie in developing advanced optimization methods that suppress motion jerk—the rate of change of acceleration—to achieve smoother, more precise robotic movements. Xu’s most cited work, "Trajectory Optimization of High-Speed Robotic Positioning with Suppressed Motion Jerk via Improved Chicken Swarm Algorithm" (2023, with 7 and 4 citations across two versions), introduces a novel approach that combines five-order B-spline interpolation with an enhanced chicken swarm optimization algorithm. This method ensures continuous acceleration profiles while addressing common algorithmic shortcomings like low solution accuracy and slow convergence. By tackling these performance issues, Xu’s research directly impacts industrial automation, enabling faster and more reliable robotic arm operations. His work is particularly notable for its practical application in high-speed manufacturing environments where precision and efficiency are critical. With a growing citation record, Xu is establishing himself as a key contributor to the field of robotic motion planning and metaheuristic optimization.
Research Focus
Key Achievements
Top Papers
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