Zhiheng Yu

Papers

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About

Zhiheng Yu is a prominent researcher in robotics and autonomous navigation, best known for pioneering the integration of bio-inspired algorithms with traditional path planning methods. His most influential work, "A path planning algorithm for mobile robot based on water flow potential field method and beetle antennae search algorithm" (2023, 49 citations), introduces a novel hybrid approach that combines the water flow potential field technique with the beetle antennae search algorithm. This work significantly improves obstacle avoidance and path efficiency in dynamic environments, addressing critical limitations of conventional potential field methods. Yu’s contributions lie at the intersection of computational intelligence and mobile robotics, offering scalable solutions for real-time navigation in complex terrains. With nearly 50 citations on this single paper, his research has rapidly gained traction among scholars working on autonomous systems and swarm robotics. Beyond this landmark study, Yu continues to explore adaptive algorithms for multi-robot coordination and sensor-based navigation, making him a rising figure in the field. His work is particularly valuable for students and engineers seeking practical, nature-inspired approaches to robotic motion planning.