Jingye Zhou
Papers
1
Total Citations
44
H-Index
1
About
Dr. Jingye Zhou is a leading researcher in robotics and intelligent control systems, with a primary focus on the autonomous navigation and stabilization of wheeled mobile robots. His most influential work addresses critical challenges in real-world robotic deployment, particularly the robust control of robots under parametric uncertainties, external disturbances, and physical constraints like input saturation. In his landmark 2018 paper, which has garnered 44 citations, Zhou introduced a novel neural network–based tracking control scheme that simultaneously solves the problems of trajectory tracking and posture stabilization—a long-standing challenge in nonholonomic robotics. By developing an innovative error-state transformation, his approach enables wheeled mobile robots to maintain precise control even when actuators are limited. This work has proven foundational for researchers working on autonomous ground vehicles and service robots, demonstrating how adaptive neural networks can overcome the inherent nonlinearities and uncertainties of real-world environments. Zhou’s contributions continue to influence the design of more resilient and intelligent robotic systems, bridging the gap between theoretical control theory and practical mobile robot applications.
Research Focus
Key Achievements
Top Papers
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