Xuezhi Deng
Papers
3
Total Citations
47
H-Index
3
About
Xuezhi Deng is a leading researcher in robot motion planning, with a focus on enabling safe and efficient navigation in complex, changing environments. His work addresses the fundamental challenge of robots operating alongside dynamic obstacles, including human collaborators. Deng’s major contributions center on enhancing the Probabilistic Roadmap (PRM) framework, introducing innovative techniques like W-C nodes mapping coupled with lazy edges evaluation to handle randomly moving obstacles and even robots that change shape, such as manipulators grasping objects. He also pioneered a planning method for safe human-robot interaction by mapping moving obstacles into C-space, using a hybrid distance metric to build more effective roadmaps. To overcome notoriously difficult regions like narrow passages and obstacle boundaries, Deng developed the dynamic bridge builder, a targeted approach that identifies and navigates these challenging zones. His most-cited works, including his 2006 path planner (17 citations) and his 2005 human-robot interaction planner (16 citations), have laid critical groundwork for adaptive, real-world robotic systems, making him a key figure in the evolution of autonomous robot navigation.
Research Focus
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Top Papers
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