Bio-Inspired Swarm Navigation on Resource-Constrained Robots for GPS-Denied Environments

Experimental validation delivers five quantified outcomes. First, optical pheromone detection achieves 88.7% ± 0.6% accuracy (<i>n</i> = 150, 95% CI), and the dual-modality combined channel achieves 86.1% ± 0.9% (<i>n</i> = 200), with robustness confirmed under 50/60 Hz flicker interference, rapid 2...

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Detalhes bibliográficos

Principais autores:	Chandan Sheikder, Weimin Zhang, Xiaopeng Chen, Fangxing Li, Xiaohai He, Haotong He, Shicheng Fan, Xinyan Tan
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2026-06-01
coleção:	Sensors
Assuntos:	swarm robotics bio-inspired navigation virtual pheromone stigmergy dual-modality pheromone system embedded machine learning
Acesso em linha:	https://www.mdpi.com/1424-8220/26/11/3525
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