Jingpei Zhou

Henan University of Science and Technology

Papers

Total Citations

H-Index

About

Jingpei Zhou is a robotics researcher whose work centers on the control and trajectory tracking of omnidirectional mobile robots, with a particular focus on Mecanum wheel platforms. In their most-cited paper, "Adaptive model predictive control for trajectory tracking of Mecanum mobile robots" (2023, 4 citations), Zhou introduces a novel model predictive controller optimized by an improved genetic algorithm. This work addresses critical challenges in mobile robotics by accounting for mechanical and speed constraints, significantly enhancing the precision and adaptability of trajectory tracking. Zhou’s contributions are notable for bridging advanced control theory with practical robotic applications, offering solutions that improve the maneuverability and reliability of omnidirectional systems. Their research holds promise for industries ranging from warehouse automation to assistive robotics, where precise movement in constrained spaces is essential. With a growing citation record, Zhou is establishing a reputation for innovative, constraint-aware control strategies that push the boundaries of mobile robot performance.