Papers
41
Total Citations
574
H-Index
14
About
Xinhan Huang is a prominent robotics and intelligent systems researcher whose work spans robot motion control, sensor-based navigation, information fusion, and visual servoing. His research has made significant contributions to the challenge of controlling robot manipulators in complex, dynamic environments — particularly under conditions of uncertainty and incomplete information. Among his most influential contributions is his 2010 work on adaptive task-space tracking control of robots without velocity measurements (77 citations), which addressed a critical practical limitation in controller design by eliminating dependence on noise-prone velocity sensors. His pioneering efforts in fuzzy and neuro-fuzzy motion planning among dynamic obstacles, dating back to 2000, laid important groundwork for intelligent autonomous navigation using artificial potential fields and harmonic functions (cited over 100 times collectively). Huang has also advanced the field of uncalibrated visual servoing through adaptive Kalman filtering techniques and applied Dezert-Smarandanche Theory (DSmT) to sonar-based robot mapping, tackling uncertainty in knowledge acquisition. His more applied work includes position control of rehabilitation robots driven by pneumatic muscles, demonstrating a commitment to translating research into assistive technologies. With a body of work accumulating hundreds of citations, Huang represents a versatile and impactful voice in intelligent robotics research.
Research Focus
Key Achievements
Top Papers
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- 6Robot Map Building From Sonar Sensors and DSmT30 citations · 2006
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