Guangbing Zhou

Shanghai University, Guangdong Institute of Intelligent Manufacturing

Papers

Total Citations

H-Index

About

Dr. Guangbing Zhou is a leading researcher in robotics and intelligent manufacturing, specializing in mobile robot localization, human-robot collaboration, and industrial automation. His most influential work, "An EKF-based multiple data fusion for mobile robot indoor localization" (2021, 22 citations), addresses a critical challenge in autonomous navigation by fusing multiple sensor inputs to enhance indoor positioning accuracy—a foundational contribution for reliable robot operation in GPS-denied environments. Zhou further advances human-robot interaction through his 2022 study on "A Cooperative Shared Control Scheme Based on Intention Recognition for Flexible Assembly Manufacturing" (9 citations), which pioneers a framework for genuine collaboration by enabling robots to anticipate human intent, moving beyond simple workspace sharing. His research on hybrid robot operations and fuzzy logic-based path planning (2017) demonstrates a sustained commitment to developing flexible, intelligent production systems. By integrating sensor fusion, adaptive control, and cooperative algorithms, Zhou’s work directly impacts the evolution of smart factories and autonomous service robots. With a growing citation record and a focus on real-world applicability, his contributions are shaping the next generation of responsive, human-aware robotic systems.