BIO-Inspired Intelligent Navigation

BIO-inspired intelligent navigation provides a feasible solution to autonomous navigation in the disturbed, signal-denied, and unstructured environments. It is our perspective that the bionic intelligence of an autonomous system manifests in three aspects: (1) At the organ level, reveal bionic sensing mechanism and develop intelligent sensing devices and systems for navigation information collection; (2) At the neural computation level, develop the intelligent information fusion methodologies for motion state estimation in presence of multi-source disturbances and uncertainties, where the core is the composite disturbance filtering algorithm; (3) At the decision-making and self-evolution level, design intelligent navigation behaviors to achieve real-time environmental interaction. Following this idea, we achieve BIO-inspired intelligent navigation by developing compound-eye-inspired tightly integrated navigation systems, proposing intelligent information fusion algorithms based on composite disturbance filtering, and designing adaptive navigation behaviors in multi-domain application scenarios. In this chapter, the basic idea, recent progress and application effects of the BIO-inspired intelligent navigation will be introduced.