Xiao-Ci Wang
Papers
3
Total Citations
20
H-Index
3
About
Xiao-Ci Wang is a leading researcher in autonomous mobile robotics, with a focused expertise in omnidirectional Mecanum-wheeled platforms and advanced sensor fusion for localization and navigation. Wang’s major contributions center on developing robust, decentralized estimation algorithms that enable precise global localization and dynamic pose tracking in complex indoor environments. Notably, Wang pioneered the integration of decentralized extended information filters (DEIF) and fuzzy logic systems to fuse data from KINECT sensors, laser scanners, and dead-reckoning, dramatically improving the reliability of autonomous navigation. Wang’s most cited work, “Global path planning and navigation of an omnidirectional Mecanum mobile robot” (2013, 9 citations), established foundational methodologies for nonsingular terminal sliding-mode control combined with global path planning. This was complemented by seminal papers on decentralized EIF-based localization (2014, 6 citations) and fuzzy decentralized pose tracking (2014, 5 citations). Wang’s research is particularly impactful for students and engineers working on mobile robot autonomy, offering practical, scalable solutions for sensor fusion and motion control that bridge theoretical estimation theory with real-world robotic applications.
Research Focus
Key Achievements
Top Papers
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