Papers
1
Total Citations
5
H-Index
1
About
Dr. Junru Shan is a researcher in mobile robotics and autonomous navigation, with a primary focus on intelligent path planning and obstacle avoidance algorithms. Their most significant contribution is the development of an improved artificial potential field method that overcomes critical limitations of conventional approaches, including excessive gravitational force, unreachable goals, and entrapment in concave obstacle regions. This work, published in 2023 and garnering 5 citations, addresses fundamental challenges in real-world robotic navigation by enhancing the efficiency and reliability of autonomous path generation. Dr. Shan’s research bridges the gap between theoretical control methods and practical deployment, offering solutions that enable mobile robots to navigate complex, cluttered environments more safely and effectively. Their work is particularly valuable for applications in warehouse automation, service robotics, and autonomous vehicles, where robust path planning is essential. By refining classical algorithms to handle edge cases that often cause failure in real-world scenarios, Dr. Shan contributes to the ongoing advancement of intelligent, adaptive robotic systems that can operate with greater autonomy and precision.
Research Focus
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Top Papers
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