Yansheng Zhang

Zhuhai Institute of Advanced Technology, The University of Texas at Dallas, University of Dallas

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About

Yansheng Zhang’s research lies at the intersection of mobile robotics, swarm intelligence, and distributed systems, with a focus on enabling autonomous, coordinated behavior in multi-robot environments. His most-cited work, “Path Planning of Mobile Robots Based on Genetic Algorithm” (2023, 11 citations), introduces an innovative approach that transforms grid maps into two-dimensional matrices and employs a genetic coding method based on matrix dimensions, using the reciprocal of path distance as a fitness function to optimize routes. This contribution is particularly notable for its probabilistic mobile operator, which enhances adaptability in planar navigation. Zhang has also made foundational contributions to swarm robotics, including the development of a service-oriented robotic swarm (SORS) framework that facilitates easy composition of services into workflows, as detailed in his 2012 paper (4 citations). His earlier work on self-stabilizing structure-forming algorithms (2007, 4 citations) and decentralized path planners (2009, 3 citations) addresses critical challenges in distributed multi-robot systems, while his availability analysis of robotic swarms (2008, 3 citations) provides practical models for designing cost-effective, high-availability systems. Through these efforts, Zhang has advanced both the theoretical and applied aspects of robotic coordination, offering scalable solutions for real-world deployment.