Xiaohu Xu
Papers
3
Total Citations
58
H-Index
3
About
Xiaohu Xu is a robotics researcher whose work spans advanced robotic machining, force control systems, and surgical robotics. His research focuses primarily on optimizing robotic performance for complex, high-precision tasks — from large-scale industrial grinding to minimally invasive medical procedures. Among his most impactful contributions is his development of novel configuration optimization methods for mobile robotic grinding systems. His 2023 paper on optimal configuration for mobile robots addresses the critical challenge of multi-constraint performance optimization, moving beyond traditional unilateral approaches to ensure maneuverability across complex operational tasks, earning 33 citations in its first year. Complementing this, his dynamic compliant force control (DCFC) strategy for robotic belt grinding systems tackles the persistent industrial problems of vibration suppression and over-grinding, accumulating 19 citations and demonstrating clear practical value in manufacturing environments. Xu's earlier work in surgical robotics — designing remote-controlled vascular intervention systems that replicate a surgeon's dexterous guidewire manipulation — reveals the breadth of his expertise across both industrial and medical domains. Collectively, his research advances intelligent robotic systems where precision, adaptability, and safety are paramount, making meaningful contributions to both manufacturing automation and next-generation surgical technology.
Research Focus
Key Achievements
Top Papers
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