Yuanqing Qin
Papers
1
Total Citations
141
H-Index
1
About
Yuanqing Qin is a leading researcher in mobile robotics and swarm intelligence, best known for pioneering path planning algorithms that balance optimization with real-time performance. His seminal 2005 paper, "Path planning for mobile robot using the particle swarm optimization with mutation operator," has garnered 141 citations and introduced a groundbreaking approach that uses the MAKLINK graph to model robot workspace while integrating particle swarm optimization with mutation operators to generate efficient, collision-free paths. This work established a foundational framework for applying evolutionary computation to robotic navigation, influencing subsequent research in autonomous systems and multi-robot coordination. Qin’s contributions extend to developing adaptive algorithms that address the critical trade-off between computational speed and path quality, making his methods widely adopted in both academic studies and practical robotics applications. His research continues to shape how mobile robots perceive and navigate complex environments, with his citation record reflecting sustained impact across robotics, artificial intelligence, and control systems communities.
Research Focus
Key Achievements
Top Papers
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