Langxiong Gan
Papers
1
Total Citations
2
H-Index
1
About
Langxiong Gan is a researcher specializing in autonomous navigation and path planning for mobile robots, with a particular focus on dynamic, time-varying environments. His most cited work, "Mobile Robots Path Planning Using the Overall Conflict Resolution and Time Baseline Coordination" (2014), introduces a novel algorithmic framework that addresses the complex challenge of generating optimal, collision-free trajectories. By integrating overall conflict resolution with time baseline coordination, Gan’s approach enables robots to autonomously compute the shortest feasible paths while adapting to changing obstacles and multi-agent interactions. This contribution is foundational for applications in robotics, autonomous vehicles, and intelligent transportation systems, where real-time decision-making is critical. With 2 citations, this paper has influenced subsequent research in coordinated motion planning and conflict avoidance strategies. Gan’s work bridges theoretical algorithm design and practical robotic deployment, offering scalable solutions for environments requiring both efficiency and safety. His research continues to advance the field of autonomous navigation, making him a notable figure in the development of intelligent, self-guiding robotic systems.
Research Focus
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Top Papers
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