Inspired Navigation

Inspired navigation focuses on developing autonomous navigation systems by mimicking the efficient and robust strategies observed in nature, such as those employed by insects and moths. Current research emphasizes learning home vectors from visual cues, using hybrid biological-robotic systems for swarm navigation in challenging terrains, and modeling exploration-exploitation strategies in olfactory-guided movement. These studies leverage techniques like convolutional neural networks for visual processing and algorithms that account for unreliable directional information, contributing to advancements in both robotics and our understanding of biological navigation.