Kezhi Wang

Brunel University of London, University of Science and Technology of China

Papers

Total Citations

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About

Kezhi Wang is a leading researcher in miniature robotics and autonomous navigation, with a focus on biomedical applications and intelligent vehicle systems. His most notable contribution is the development of a magnetic helical miniature robot (MHMR) equipped with a soft magnetic-controlled gripper, enabling efficient motion in low Reynolds number environments for targeted drug delivery. This work, published in 2024, has already garnered 23 citations, highlighting its impact on advancing microrobotics for medical interventions. Wang’s research addresses critical challenges in cargo release during targeted delivery, offering a novel solution that enhances precision and control. In addition to his work in microrobotics, Wang has made significant strides in autonomous navigation for ground vehicles. His LiDAR-only navigation system for park environments, cited 6 times, integrates map representation, dynamic object detection, and hierarchical path planning, providing a robust framework for real-world deployment. He has also contributed to path planning in dynamic environments with an improved RRT* algorithm, further demonstrating his versatility in robotics. Wang’s innovative approaches and high-impact publications underscore his role as a rising figure in robotics, with potential to transform both medical and autonomous systems.