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| Main Authors: | , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2510.16771 |
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| _version_ | 1866914103246716928 |
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| author | He, Xu Meng, Xiaolin Yin, Wenxuan Zhang, Youdong Mo, Lingfei An, Xiangdong Yu, Fangwen Pan, Shuguo Liu, Yufeng Liu, Jingnan Zhang, Yujia Gao, Wang |
| author_facet | He, Xu Meng, Xiaolin Yin, Wenxuan Zhang, Youdong Mo, Lingfei An, Xiangdong Yu, Fangwen Pan, Shuguo Liu, Yufeng Liu, Jingnan Zhang, Yujia Gao, Wang |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_16771 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | A Preliminary Exploration of the Differences and Conjunction of Traditional PNT and Brain-inspired PNT He, Xu Meng, Xiaolin Yin, Wenxuan Zhang, Youdong Mo, Lingfei An, Xiangdong Yu, Fangwen Pan, Shuguo Liu, Yufeng Liu, Jingnan Zhang, Yujia Gao, Wang Robotics 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. |
| title | A Preliminary Exploration of the Differences and Conjunction of Traditional PNT and Brain-inspired PNT |
| topic | Robotics |
| url | https://arxiv.org/abs/2510.16771 |