Jingsong Gui

Wuhu Hit Robot Technology Research Institute

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About

Jingsong Gui is a leading researcher in intelligent robotics and optimization algorithms, with a primary focus on advancing autonomous navigation systems. His most influential work, "Research on path planning of mobile robot based on improved genetic algorithm" (2022), has garnered 22 citations and addresses critical limitations in traditional genetic algorithms for robot path planning. Gui identified that randomly generated initial chromosomes often produce excessively high fitness values, leading to slow convergence and suboptimal global solutions. By introducing targeted improvements to the genetic algorithm framework, his research significantly enhances the efficiency and reliability of mobile robot navigation in complex environments. This contribution has practical implications for autonomous systems in logistics, manufacturing, and service robotics. Gui’s work stands out for its clear problem-solving approach and measurable impact on computational efficiency, making him a notable figure in the intersection of evolutionary computation and robotics. His research continues to inspire further innovations in adaptive path planning and real-time decision-making for intelligent agents.