Baozhi Zhou

Changzhou Institute of Mechatronic Technology

Papers

Total Citations

H-Index

About

Baozhi Zhou is a rising researcher in intelligent robotic control, with a primary focus on the safe and precise motion of wheeled mobile robots (MRs). Their work addresses critical challenges in trajectory tracking and system stability, particularly for high-speed and constrained environments. In their highly cited 2024 paper, "A Constrained Fuzzy Control for Robotic Systems" (36 citations), Zhou developed a novel control framework that explicitly handles physical constraints, a key hurdle for deploying MRs in complex real-world applications like agriculture, healthcare, and search and rescue. This work demonstrates a sophisticated fusion of fuzzy logic with constraint satisfaction. Complementing this, their research on "Design of a robust intelligent controller based neural network for trajectory tracking of high-speed wheeled robots" (4 citations) pushes the boundaries of dynamic control, moving beyond traditional kinematic models to achieve robust performance at high velocities. By integrating neural networks into the control architecture, Zhou is pioneering more adaptive and resilient systems. This dual focus on constraint-aware and high-speed control marks them as a significant contributor to the next generation of autonomous mobile robotics.