{"ID":2853109,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.16771","arxiv_id":"2510.16771","title":"A Preliminary Exploration of the Differences and Conjunction of Traditional PNT and Brain-inspired PNT","abstract":"Developing universal Positioning, Navigation, and Timing (PNT) is our enduring goal. Today's complex environments demand PNT that is more resilient, energy-efficient and cognitively capable. This paper asks how we can endow unmanned systems with brain-inspired spatial cognition navigation while exploiting the high precision of machine PNT to advance universal PNT. We provide a new perspective and roadmap for shifting PNT from \"tool-oriented\" to \"cognition-driven\". Contributions: (1) multi-level dissection of differences among traditional PNT, biological brain PNT and brain-inspired PNT; (2) a four-layer (observation-capability-decision-hardware) fusion framework that unites numerical precision and brain-inspired intelligence; (3) forward-looking recommendations for future development of brain-inspired PNT.","short_abstract":"Developing universal Positioning, Navigation, and Timing (PNT) is our enduring goal. Today's complex environments demand PNT that is more resilient, energy-efficient and cognitively capable. This paper asks how we can endow unmanned systems with brain-inspired spatial cognition navigation while exploiting the high prec...","url_abs":"https://arxiv.org/abs/2510.16771","url_pdf":"https://arxiv.org/pdf/2510.16771v1","authors":"[\"Xu He\",\"Xiaolin Meng\",\"Wenxuan Yin\",\"Youdong Zhang\",\"Lingfei Mo\",\"Xiangdong An\",\"Fangwen Yu\",\"Shuguo Pan\",\"Yufeng Liu\",\"Jingnan Liu\",\"Yujia Zhang\",\"Wang Gao\"]","published":"2025-10-19T09:32:35Z","proceeding":"cs.RO","tasks":"[\"cs.RO\"]","methods":"[\"LoRA\"]","has_code":false}