Qilong Liu
Papers
2
Total Citations
23
H-Index
2
About
Qilong Liu is a leading researcher in intelligent mobile robotics, with a primary focus on path planning and autonomous navigation in complex, dynamic environments. His work addresses critical challenges in logistics, healthcare, and industrial maintenance, where robots must efficiently and safely traverse unpredictable spaces. Liu’s major contributions include developing novel fusion algorithms that significantly enhance path optimization and real-time obstacle avoidance. Notably, his 2024 paper on an improved A* algorithm for intelligent mobile robots has already garnered 12 citations, demonstrating its immediate impact on the field. In another highly cited work (11 citations), Liu introduced a groundbreaking fusion of Jump Point Search (JPS) and Dynamic Window Approach (DWA) for substation inspection robots, effectively solving the persistent problems of prolonged execution times and high memory usage in traditional global path planning. By integrating global and local planning strategies, Liu’s research enables robots to rapidly identify accessible paths in cluttered environments, marking a significant advancement toward fully autonomous, real-world robotic operations.
Research Focus
Key Achievements
Top Papers
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