A Comprehensive Review of Brain-inspired Navigation

Intelligent navigation is essential for unmanned systems. Yet nowadays navigation technologies still fall short of animals’ innate navigation prowess, characterized by continuous, efficient, adaptive, low-power navigating across complex terrains, and despite technological advancements. Neuroscience's half-century exploration has revealed the brain's innate “Global Positioning System (GPS),” instigating research into Brain-Inspired Navigation (BIN). BIN, is a cutting-edge navigation technology, that bridges disciplines but lacks a cohesive guide for its interdisciplinary study. In this article, we offer a comprehensive BIN review, mapping its neural basis, computational foundations, current progress, and implementation conditions, providing a general framework for researchers alongside forward-looking recommendations for future development in the domain. The highlights of this article can be available at https://binucoe.github.io/Awesome-Brain-inspired-Navigation/ .

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Publication Details

Journal
ACM Computing Surveys
Published
2025-12-26
DOI
https://doi.org/10.1145/3786344
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
0.00
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article

A Comprehensive Review of Brain-inspired Navigation

Jingnan Liu, Fangwen Yu, Y. Zhang, Xiaolin Meng et al.
ACM Computing Surveys
EEG and Brain-Computer Interfaces
article

A Comprehensive Review of Brain-inspired Navigation

Jingnan Liu, Fangwen Yu, Y. Zhang, Xiaolin Meng, Lingfei Mo, Xu He
article en

Abstract

Intelligent navigation is essential for unmanned systems. Yet nowadays navigation technologies still fall short of animals’ innate navigation prowess, characterized by continuous, efficient, adaptive, low-power navigating across complex terrains, and despite technological advancements. Neuroscience's half-century exploration has revealed the brain's innate “Global Positioning System (GPS),” instigating research into Brain-Inspired Navigation (BIN). BIN, is a cutting-edge navigation technology, that bridges disciplines but lacks a cohesive guide for its interdisciplinary study. In this article, we offer a comprehensive BIN review, mapping its neural basis, computational foundations, current progress, and implementation conditions, providing a general framework for researchers alongside forward-looking recommendations for future development in the domain. The highlights of this article can be available at https://binucoe.github.io/Awesome-Brain-inspired-Navigation/ .

ACM Computing SurveysVol. 58(8)
Wuhan University (CN), Southeast University (BD), Tsinghua University (CN)
Openalex Percentile: Top 32%
EEG and Brain-Computer Interfaces
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