Papers
1
Total Citations
5
H-Index
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About
Liyun Zhao is a prominent researcher in mobile robotics and autonomous navigation, with a particular focus on intelligent path planning and obstacle avoidance algorithms. Their most-cited work, "Path Planning for Mobile Robot Based on Improved Artificial Potential Field Method" (2023), addresses critical limitations in conventional artificial potential field methods—including excessive gravitational force, unreachable goals, and entrapment in concave obstacle regions. By introducing targeted modifications to the potential field model, Zhao’s approach enables more reliable and efficient robot movement in complex environments. This contribution has garnered 5 citations, reflecting its practical relevance to roboticists and control engineers. Zhao’s research bridges theoretical algorithm design and real-world robotic applications, offering scalable solutions for autonomous systems. Their work is particularly valuable for students and researchers exploring mobile robot navigation, as it provides a clear, implementable improvement over classical methods. Zhao’s ongoing contributions continue to influence the development of safer and more adaptive robotic systems.
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