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Collaborative Research: NSF-DST: RI: Small: Algorithms from wetware:A neural model of spatial navigation in very large and cluttered space

Organization Johns Hopkins UniversityLocation BALTIMORE, United StatesPosted 15 Apr 2025Deadline 31 Mar 2028
NSFUS FederalResearch GrantScience FoundationMD
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When navigating in complex environments, fixed landmarks and moving obstacles are crucial features that influence efficient and robust path planning, optimal route finding, and minimization of navigational errors. Autonomous vehicles are severely limited by their inability to reliably anchor their navigation to landmarks and predict and avoid the…

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Collaborative Research: NSF-DST: RI: Small: Algorithms from wetware:A neural model of spatial navigation in very large a | Dev Procure