Papers
1
Total Citations
44
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1
About
Wenting Xu is a leading researcher in multi-robot systems and swarm intelligence, with a focus on optimizing task allocation for heterogeneous robot teams. Her most-cited work, "Multi-robot Task Allocation Strategy based on Particle Swarm Optimization and Greedy Algorithm" (2019, 44 citations), introduces a hybrid approach that combines particle swarm optimization with greedy heuristics to address the complex challenge of assigning multi-type tasks across robots with diverse capabilities. This strategy significantly improves resource utilization efficiency, minimizes overall task execution time, and maintains load balancing among robot resources—a critical advancement for real-world applications like warehouse automation and disaster response. By tackling the "multiple resources, difficult near-optimal solution" problem, Xu’s research bridges theoretical optimization and practical deployment, offering scalable solutions for dynamic environments. Her work has garnered attention from scholars in robotics and artificial intelligence, establishing her as a key contributor to autonomous coordination. Xu’s innovative fusion of metaheuristic and deterministic methods continues to inspire new directions in multi-agent systems, making her a valuable voice for students and researchers exploring efficient, real-time robot collaboration.
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Top Papers
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