Papers
2
Total Citations
19
H-Index
2
About
Qiuling Jia is a distinguished researcher in robotics and multi-agent systems, with a primary focus on cooperative control, path planning, and sliding mode control for multiple robot formations. Her pioneering work on formation path tracking introduced a high-order sliding mode controller that transforms robot dynamics into a leader-follower relative motion equation, effectively addressing the structural singularity challenges inherent in nonholonomic systems. This foundational contribution, published in 2007, has garnered 17 citations and remains a key reference in the field of multi-robot coordination. Jia further advanced the domain by integrating receding horizon optimization with genetic algorithms for cooperative path planning, developing an objective function that simultaneously accounts for mission rewards, nonholonomic constraints, collision avoidance, and survival probability in threat-laden environments. Her research demonstrates a sophisticated understanding of the trade-offs between mission performance and system safety in complex, dynamic scenarios. Through these contributions, Qiuling Jia has established herself as an influential voice in the development of robust, intelligent control strategies for autonomous multi-robot systems, with her work continuing to inspire new approaches in cooperative robotics and sliding mode control applications.
Research Focus
Key Achievements
Top Papers
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