Yanbin Liu

Anhui University of Science and Technology

Papers

Total Citations

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About

Yanbin Liu is a researcher whose work sits at the intersection of robotics, spatial computing, and autonomous navigation. His most-cited paper, "Robotic Path Planning Based on a Triangular Mesh Map" (2020), introduces a novel approach to path planning that leverages triangular mesh representations of environments. This method improves computational efficiency and accuracy in complex, unstructured terrains—a critical contribution for applications ranging from warehouse automation to planetary exploration. With 28 citations, this work has already influenced subsequent studies in geometric mapping and motion planning. Liu’s broader research focuses on developing robust algorithms for real-time decision-making in autonomous systems, bridging the gap between theoretical geometry and practical robotics. His contributions are particularly notable for addressing the challenges of dynamic obstacle avoidance and energy-efficient routing. By integrating mesh-based maps with traditional pathfinding techniques, Liu has provided a foundation for more adaptive and scalable robotic systems. For students and researchers in robotics and AI, his work offers a compelling example of how geometric data structures can enhance autonomous navigation in real-world settings.