Xingbo Wang

Nanjing University of Posts and Telecommunications, China Academy of Space Technology

Papers

Total Citations

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About

Xingbo Wang is a leading researcher in the fields of reconfigurable robotics, adaptive control, and bio-inspired manipulation. His major contributions include pioneering the motion planning of the 12-tetrahedral rolling robot—an addressable reconfigurable technology (ART)-based variable geometry truss mechanism with 26 extensible struts and nine nodes. This work, cited 10 times, demonstrates the robot’s ability to reconfigure its shape for environmental adaptation, advancing the design of versatile, shape-shifting robots. Wang also developed adaptive sliding mode neural network-based composite control for robot manipulators, achieving precise trajectory tracking through a novel fast terminal sliding mode and RBF neural networks to estimate unknown dynamics (7 citations). Additionally, his adaptive SNN torque control for tendon-driven fingers (4 citations) enhances dexterous manipulation in robotic hands. With a focus on merging neural network intelligence with robust control, Wang’s work has significant implications for autonomous systems, prosthetics, and field robotics, making him a notable figure in modern robotics research.