Pinhong Wu

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About

Pinhong Wu is a robotics researcher whose work focuses on the intersection of climbing robot locomotion and human-robot interaction. Her key research areas include motion planning for biped climbing robots, modular master-slave systems, and bilateral control for teleoperation. Wu's most significant contribution is the development of a collision-free, single-step motion planning algorithm for biped pole-climbing robots (BiPCRs) navigating spatial trusses. By applying the Bi-RRT sampling-based method, she enabled these robots to autonomously plan feasible climbing paths while avoiding obstacles—a critical advancement for inspection and maintenance tasks in complex structures like trusses and trees. This work has garnered 15 citations. Additionally, Wu pioneered a modular approach to isomorphic master-slave robots, addressing the traditional lack of flexibility in master devices by allowing their structure and degrees of freedom to adapt to the slave robot. She further extended this concept with a bilateral control system featuring position-position tracking capability, enhancing human-machine interaction. Her contributions advance practical applications in field robotics and teleoperation, offering scalable solutions for challenging environments.