XueQian Wang
Papers
2
Total Citations
13
H-Index
2
About
XueQian Wang is a leading researcher in the field of human-robot interaction and continuum robotics, with a particular focus on teleoperation systems and force sensing technologies. His work bridges the gap between human stochastic behavior and robotic control, notably through his pioneering study on master-slave teleoperation using multi-Leap-Motion sensors, which has garnered 10 citations and laid foundational insights into closed-loop human-robot coordination. More recently, Wang has advanced the capabilities of continuum robots—flexible, snake-like devices used in minimally invasive surgery and industrial inspection—by systematically verifying their external force sensing methods and identifying critical error sources. This 2024 contribution, though early in its citation impact, promises to enhance the precision and safety of soft robotic systems. Wang’s research is characterized by a rigorous experimental approach, combining sensor fusion with real-time control to improve robotic dexterity and human operator intuition. His work not only advances theoretical understanding but also offers practical solutions for telemedicine and remote manipulation, making him a key figure in the next generation of interactive robotic technologies.
Research Focus
Key Achievements
Top Papers
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