Haoliang Lv

Papers

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About

Dr. Haoliang Lv is a leading researcher in robotics and autonomous navigation, with a primary focus on path planning for amphibious and aquatic robots. His most-cited work, "Improved Artificial Potential Field and Dynamic Window Method for Amphibious Robot Fish Path Planning" (2021, 47 citations), tackles critical challenges in mobile robotics—specifically the "local minimum" and "unreachable target" issues inherent in traditional artificial potential field methods. By systematically analyzing the root causes of these navigation failures, Dr. Lv proposed a novel, enhanced algorithm that significantly improves trajectory efficiency and obstacle avoidance in complex, hybrid environments. This contribution not only advances the theoretical understanding of potential field-based planning but also offers practical solutions for real-world amphibious robot deployment. His work bridges the gap between classical control theory and modern robotic applications, demonstrating high impact within the specialized field of bio-inspired robotics. Dr. Lv’s research continues to influence the development of more robust and adaptive autonomous systems, making him a key figure in the evolution of intelligent robot navigation.