Papers
9
Total Citations
92
H-Index
5
About
Wang-bao Xu is a robotics researcher whose work centers on autonomous navigation, multi-robot coordination, and swarm intelligence. Over the course of more than a decade, Xu has made sustained contributions to the field of robot path planning, developing and refining a family of techniques collectively known as artificial moment methods. These approaches address one of robotics' fundamental challenges: enabling robots to plan efficient, collision-free paths in complex and dynamic environments without relying on centralized control. Xu's most influential contributions include the development of decentralized path-planning frameworks for multi-robot systems, where each robot independently computes its trajectory using coordinated, repulsive, and attractive moment components. His 2015 paper introducing an improved artificial moment method for multi-robot local path planning and his 2013 work on self-organizing cooperative hunting using swarm robotic systems each garnered 20 citations, reflecting strong community interest. His function-segment artificial moment method extended these ideas to single-robot navigation in complex environments, earning 18 citations. Beyond navigation, Xu has explored emergent swarm behaviors, cooperative target encirclement, and system architecture for multi-task swarm robots. His body of work, accumulating over 90 citations in total, offers both theoretical rigor — including Lyapunov stability proofs — and practical experimental validation, making it valuable reading for researchers in autonomous systems and swarm robotics.
Research Focus
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Top Papers
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- 8The apposite way path planning algorithm based on local message3 citations · 2012
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