Papers
3
Total Citations
29
H-Index
2
About
Bingzhou Xu is a rising researcher in robotic manufacturing and path planning, whose work addresses critical challenges in precision material removal and autonomous navigation. His primary research areas include robotic compliant grinding, material removal modeling, and spiral path planning for complex geometries. Xu’s most significant contribution is the development of a dual flexible contact material removal model for robotic disk grinding, which provides a theoretical foundation for understanding and controlling material removal in flexible robotic systems—a paper that has already garnered 16 citations since its 2024 publication. He has also advanced spiral complete coverage path planning through conformal slit mapping in multi-connected domains, enabling smoother and shorter paths for robotic cavity machining, a breakthrough that traditional subregion-based methods could not achieve. His 2025 work on non-uniform material removal in robotic compliant grinding for free-form surfaces further demonstrates his commitment to solving real-world manufacturing problems, addressing how complex workpiece shapes and curved tool paths lead to uneven dwell time and material removal. Xu’s research, though early in his career, shows strong potential to impact automated surface finishing and robotic machining industries.
Research Focus
Key Achievements
Top Papers
- 1Dual flexible contact material removal model for robotic disk grinding16 citations · 2024
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