Kai Yuan

Northeastern University, Southwest University of Science and Technology

Papers

Total Citations

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About

Kai Yuan is a robotics researcher whose work centers on autonomous mobile robot systems, with a particular focus on navigation, path planning, and intelligent positioning. His most influential contribution, "Path Planning of Mobile Robot based on Improved A* Algorithm" (2017), has garnered 82 citations and represents a meaningful advancement in indoor robot navigation. By building upon classical Dijkstra and A* algorithms and introducing the influence of a node's parent into the heuristic function, Yuan developed a more efficient approach to optimal path computation for autonomous parade robots — a technically nuanced improvement that has resonated widely within the robotics and artificial intelligence communities. His earlier work, "Robot Position Realization Based on Multi-sensor Information Fusion Algorithm" (2011), reflects his foundational interest in mobile robot localization, exploring cost-effective auto-positioning solutions for differential-wheel platforms through sensor fusion techniques. Together, these contributions illustrate Yuan's sustained commitment to making autonomous robots more capable and practically deployable in real-world environments. His research offers valuable insights for students and engineers working at the intersection of robot motion planning, sensor integration, and intelligent systems design.