Jia Qin
Papers
2
Total Citations
18
H-Index
2
About
Jia Qin is a researcher specializing in robotics, computer vision, and intelligent control systems, with a particular focus on autonomous navigation and multi-agent coordination. Their work bridges the gap between theoretical game theory and practical robotic applications, as demonstrated in their highly cited paper "Game-model prediction hybrid path planning algorithm for multiple mobile robots in pursuit evasion game" (2021, 8 citations). This innovative study introduced a novel hybrid algorithm combining game theory with model predictive control, enabling multiple robots to make strategic decisions in dynamic pursuit-evasion scenarios—a significant contribution to autonomous systems and swarm robotics. Earlier, Qin's foundational work "Image processing algorithm of weld seam based on crawling robot by binocular vision" (2011, 10 citations) established key techniques for robotic welding, including advanced filtering methods (mean, median, homomorphic) and a tracking control platform that improved precision in industrial automation. With a combined citation impact of 18 citations across their most notable papers, Jia Qin has demonstrated versatility in both low-level image processing and high-level strategic planning for mobile robots. Their research continues to influence developments in robotic path planning, multi-agent systems, and computer vision applications in manufacturing and autonomous navigation.
Research Focus
Key Achievements
Top Papers
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