Navigate in Demanding Missions: Integrating Human Intelligence and Brain-Inspired Intelligence

TL;DR

This paper advocates integrating neuromorphic BCI with Brain-Inspired Navigation to improve unmanned system navigation in demanding missions, leveraging brain-inspired AI to extend human and machine intelligence.

Contribution

It proposes a novel integration of neuromorphic-empowered BCI into BIN, enhancing navigation reliability and safety in complex missions like deep space exploration.

Findings

Highlights the potential of brain-inspired AI to extend human intelligence.

Suggests neuromorphic BCI can improve unmanned navigation in demanding environments.

Discusses ethical and security considerations of brain-inspired systems.

Abstract

This perspective analyzes the intricate interplay among neuroscience, Brain-Inspired Intelligence (BII), and Brain-Inspired Navigation (BIN), revealing a current lack of cooperative relationship between Brain-Computer Interfaces (BCIs) and BIN fields. We advocate for the integration of neuromorphic-empowered BCI into BIN, thereby bolstering the unmanned systems' reliable navigation in demanding missions, such as deep space exploration, etc. We highlight that machine intelligence, reinforced by brain-inspired artificial consciousness, can extend human intelligence, with human intelligence mediated by neuromorphic-enabled BCI acting as a safeguard in case machine intelligence failures. This study also discusses the potentials of the proposed approach to enhance unmanned systems' capabilities and facilitate the diagnostics of spatial cognition disorders, while considering associated ethical and security concerns.