Papers
2
Total Citations
99
H-Index
2
About
Kejin Jia is a leading researcher in intelligent robotics and autonomous navigation, with a primary focus on multi-agent path planning and optimization algorithms. Their most influential work, "Path planning and smoothing of mobile robot based on improved artificial fish swarm algorithm" (2022), has garnered 96 citations for pioneering a hybrid approach that integrates bio-inspired swarm intelligence with continuous segmented Bézier curves. This algorithm significantly enhances path smoothness and reduces inflection points, addressing critical limitations in traditional planning methods. More recently, Jia has advanced the field with their "Conflict-based strategy combined integrated optimal conflict avoidance algorithm" (2025), which refines conflict classification in multi-robot systems to achieve more efficient coordination. This work demonstrates Jia’s ongoing commitment to solving complex, real-world robotics challenges. With a career marked by innovative algorithm design and practical impact, Kejin Jia’s contributions are essential reading for researchers in robotics, autonomous systems, and computational intelligence.
Research Focus
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