Shiwei Zhang
Papers
1
Total Citations
1
H-Index
1
About
Shiwei Zhang is a rising researcher in intelligent robotics and optimization algorithms, with a primary focus on autonomous guided vehicle (AGV) path planning and swarm intelligence. His most notable contribution is the development of a multi-strategy improved sparrow search algorithm (MISSA), designed to overcome critical limitations in traditional sparrow search algorithms—namely weak global search ability, premature convergence to local optima, and poor path quality. By integrating novel enhancement strategies, MISSA significantly boosts both exploration and exploitation capabilities, offering more efficient and reliable solutions for indoor AGV navigation in complex environments. Although his 2024 paper has garnered 1 citation to date, it represents a promising step forward in adaptive path planning for industrial automation. Zhang’s work bridges theoretical optimization with practical robotics applications, and his algorithm holds potential for broader use in logistics, manufacturing, and autonomous systems. As an emerging scholar, his research contributes to the growing demand for smarter, more robust mobile robot navigation in dynamic indoor settings.
Research Focus
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Top Papers
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