Chaoli Wang

University of Shanghai for Science and Technology

Papers

Total Citations

H-Index

About

Chaoli Wang is a robotics and autonomous systems researcher whose work centers on mobile robot navigation, visual control, and intelligent path planning. His most influential contribution lies in the domain of visual servoing for nonholonomic mobile robots, where he developed robust control strategies capable of handling the inherent uncertainties of uncalibrated monocular camera systems — a technically demanding challenge in real-world robotics. This foundational 2007 work has garnered 15 citations, reflecting its value to the control systems and robotics communities. Building on this foundation, Wang later introduced novel computer vision techniques for detecting a wheeled robot's position and orientation on image planes using CAMShift tracking and geometric markers, offering a practical and accessible localization solution that earned 9 citations. His more recent research extends into applied autonomous navigation, combining Ultra Wideband (UWB) sensing with A* path planning algorithms to guide wheeled robots through complex, real-world indoor environments such as airports. Together, Wang's body of work demonstrates a consistent commitment to bridging theoretical control frameworks with practical robotic deployment, making meaningful contributions to the fields of visual feedback control, robot localization, and intelligent navigation systems.