About

Di Xiao's research career is defined by pioneering work in intelligent robotic manipulation, particularly in uncalibrated and sensor-rich environments. His foundational contributions address the challenge of controlling robot manipulators for constrained motions—such as following a path on an unknown surface—using hybrid position/force control guided by a single, uncalibrated camera. This work, notably in his most cited paper "Sensor-based hybrid position/force control of a robot manipulator in an uncalibrated environment" (153 citations), has significantly advanced the field of vision-guided robotics by reducing the need for precise calibration. Xiao also made impactful strides in medical robotics, developing an ultrasound-guided robotic system for transperineal prostate biopsy (52 citations), which integrates 2D TRUS images into 3D models for accurate needle insertion. His research extends to real-time integration of sensing, planning, and control in robotic work-cells, and he has recently explored the intersection of robotics and sustainable hospitality practices. With over 300 total citations, Xiao's work bridges theoretical control methods and practical applications, from manufacturing to healthcare, demonstrating a lasting influence on autonomous robotic systems.

Research Focus

Key Achievements

7
H-Index
15
Papers
308
Total Citations
21
Avg Citations/Paper
🏆 Most Cited Paper
Sensor-based hybrid position/force control of a robot manipulator in an uncalibrated environment
153 citations · 2000
📈 Most Prolific Year: 2006 (3 Papers)
🤝 Key Collaborators: 26
🏛 Institutions: Fanuc (Japan), Singapore General Hospital, Motion Control (United States), Zhejiang Gongshang University, Washington University in St. Louis, National University Hospital

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago