Fuxiang Zhang

Institute of Automation, Hebei University of Science and Technology

Papers

Total Citations

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About

Fuxiang Zhang is a robotics researcher whose work spans path planning, mechanism design, rehabilitation technology, and sensor optimization. His most cited paper, “Research on Path Planning of Mobile Robot by Fusing A* and DWA Algorithms” (2023, 9 citations), addresses a critical challenge in autonomous navigation: the traditional A* algorithm’s inefficiency and inability to handle dynamic obstacles. By fusing A* with the Dynamic Window Approach (DWA), Zhang’s method improves search efficiency and enables real-time path adaptation, a significant contribution to mobile robotics. Earlier, he proposed a novel 3T2R labelling robot with a hybrid mechanism for round steel end-faces (2019, 3 citations), combining a three-degree-of-freedom translation parallel mechanism with a two-degree-of-freedom rotation mechanism—a design that advances industrial automation. His 2005 overview of rehabilitation robots (3 citations) provided an early survey of manipulators, intelligent wheelchairs, prostheses, and therapy robots, helping to shape the field. Additionally, Zhang developed an optimization method for IIR digital filters in robot force/position sensors (2010, 2 citations), minimizing mean square error to improve sensor accuracy. With contributions spanning navigation, mechanism synthesis, rehabilitation, and sensor design, Zhang demonstrates a broad impact on practical robotics challenges.