Jinsi Zhang
Papers
2
Total Citations
4
H-Index
1
About
Jinsi Zhang is an emerging researcher specializing in autonomous robotics and intelligent transportation systems, with a particular focus on path planning algorithms for mobile robots and unmanned vehicles. Zhang's work centers on advancing the classical A* algorithm, addressing its well-known limitations including collision risk, suboptimal path generation, excessive turning nodes, and inefficient resource utilization during node searches. Zhang's most notable contribution, "Research on Static/Dynamic Global Path Planning Based on Improved A* Algorithm for Mobile Robots" (2023), tackles fundamental challenges in both static and dynamic environments, proposing enhancements that improve safety, optimality, and path smoothness for autonomous mobile systems. Building on this foundation, Zhang's 2024 study extends these algorithmic improvements to unmanned charging vehicles, a practically significant application within the growing autonomous driving ecosystem, addressing real-world constraints such as search efficiency and path safety in static deployment scenarios. While Zhang's citation record is still growing — reflecting an early-career stage — the consistency and applied relevance of this research signals meaningful contributions to the robotics and autonomous systems community. Students interested in robot navigation, autonomous vehicles, or heuristic search optimization will find Zhang's methodological refinements to classical planning algorithms both accessible and practically instructive.
Research Focus
Key Achievements
Top Papers
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- 2