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/ .
Authors
- Jingnan Liu (ORCID: https://orcid.org/0009-0003-5984-9500)
- Fangwen Yu (ORCID: https://orcid.org/0000-0001-9627-3246)
- Y. Zhang
- Xiaolin Meng (ORCID: https://orcid.org/0000-0003-2440-8054)
- Lingfei Mo
- Xu He
Institutions
- Wuhan University (CN)
- Southeast University (BD)
- Tsinghua University (CN)
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