Navigate in Demanding Missions: Integrating Human Intelligence and Brain-Inspired Intelligence
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arXiv
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| Main Authors: | , , , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866917027990470656 |
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| author | He, Xu Meng, Xiaolin Zhang, Youdong Mo, Lingfei Yin, Wenxuan |
| author_facet | He, Xu Meng, Xiaolin Zhang, Youdong Mo, Lingfei Yin, Wenxuan |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_17530 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Navigate in Demanding Missions: Integrating Human Intelligence and Brain-Inspired Intelligence He, Xu Meng, Xiaolin Zhang, Youdong Mo, Lingfei Yin, Wenxuan Emerging Technologies Human-Computer Interaction 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. |
| title | Navigate in Demanding Missions: Integrating Human Intelligence and Brain-Inspired Intelligence |
| topic | Emerging Technologies Human-Computer Interaction |
| url | https://arxiv.org/abs/2510.17530 |