Zhenzhen Xu

Dalian University of Technology, Guangxi University

Papers

Total Citations

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About

Dr. Zhenzhen Xu is a robotics researcher whose work focuses on advancing multi-robot coordination and autonomous navigation. Her key contributions lie in two critical areas: dynamic task allocation and optimal path planning. In her foundational 2009 study, "Multi-Robot Dynamic Task Allocation Using Modified Ant Colony System," she pioneered a bio-inspired approach that enables robot teams to efficiently distribute tasks in real-time, drawing from swarm intelligence principles. This work, cited 5 times, laid groundwork for adaptive multi-agent systems. More recently, Dr. Xu tackled the challenge of path planning optimality with her 2020 paper, "Informed RRT* with Adjoining Obstacle Process for Robot Path Planning." Here, she enhanced the widely-used RRT* algorithm—which guarantees asymptotic optimality but suffers from slow convergence—by introducing an adjoining obstacle process that significantly accelerates sampling efficiency. This innovation, receiving 2 citations, directly addresses a key bottleneck in autonomous navigation for cluttered environments. Dr. Xu’s research bridges theoretical algorithm design with practical robotic applications, offering solutions that improve both team coordination and individual robot efficiency. Her work continues to influence researchers developing more responsive, intelligent autonomous systems for real-world deployment.