Xiaoqin Zeng

Papers

Total Citations

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About

Xiaoqin Zeng is a researcher in swarm intelligence and bio-inspired robotics, with a particular focus on developing adaptive algorithms for autonomous navigation. His most notable contribution is the creation of the Adaptive Cockroach Colony Optimization (ACCO) algorithm, which draws from the collective foraging and escape behaviors of cockroaches to guide rod-like robots through complex, obstacle-rich environments. This work, published in 2015, has garnered 12 citations and represents a novel intersection of computational biology and practical robotics. Zeng’s approach emphasizes real-time adaptability, allowing robots to adjust their paths without pre-mapped data—a key advantage for search-and-rescue or exploration missions. While his citation count is modest, the originality of his bio-inspired framework has sparked interest in unconventional swarm models, positioning him as a niche innovator in the field. His research continues to explore how simple insect behaviors can be translated into robust, low-cost robotic control systems, offering a fresh perspective for students and engineers working on autonomous navigation.