Chengzhi Shi

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About

Chengzhi Shi is a prominent researcher in robotics and autonomous navigation, with a core focus on path planning algorithms for mobile robots operating in complex indoor environments. His most-cited work, "Path planning of mobile robot based on improved A* algorithm" (2017), has garnered 82 citations and stands as a key contribution to the field. In this study, Shi addresses critical limitations of traditional path planning methods by enhancing the A* algorithm—integrating insights from Dijkstra’s algorithm and introducing the influence of the current node’s parent node into the heuristic function. This innovation allows for more efficient and optimal weight selection, significantly improving the robot’s ability to navigate dynamic, obstacle-rich spaces. Shi’s work has been instrumental in advancing autonomous parade robots and other mobile systems, offering practical solutions for real-world deployment. His research continues to influence subsequent developments in intelligent robotics, particularly in optimizing computational efficiency and path smoothness. With a growing citation impact, Shi is recognized for bridging theoretical algorithm design with applied robotic navigation, making him a notable figure in the intersection of artificial intelligence and mechanical engineering.