Xiaoying Kong
Papers
9
Total Citations
334
H-Index
6
About
Xiaoying Kong is a prominent researcher specializing in mobile robotics, path planning, and indoor positioning systems, with contributions spanning over a decade of work in intelligent autonomous systems. Her most impactful work centers on multi-robot coordination and navigation, exemplified by her widely cited 2022 review paper on multi-robot path-planning approaches (145 citations), which comprehensively surveys algorithms across aerial and ground robot platforms. That same year, her hybrid PSO-SA intelligence-based path-planning algorithm for warehouse robotics attracted 135 citations, demonstrating the real-world applicability of her optimization methods in industrial settings. Kong's research extends into sensor fusion and localization, where she has developed novel approaches combining Ultra-wideband technology with wheel odometry to achieve robust indoor positioning under challenging non-line-of-sight conditions. Her earlier foundational work on wireless sensor network localization using mobile beacons and reinforcement learning (2012) established her trajectory in autonomous navigation. More recently, her development of a swarm intelligence Leader-Vicsek model for multi-AGV systems showcases her commitment to biologically inspired approaches for industrial automation. Collectively, Kong's research portfolio reflects a sustained effort to bridge theoretical optimization with practical deployment in smart warehousing and autonomous robotics environments.
Research Focus
Key Achievements
Top Papers
- 1A Review of Path-Planning Approaches for Multiple Mobile Robots145 citations · 2022
- 2An intelligence-based hybrid PSO-SA for mobile robot path planning in warehouse135 citations · 2022
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