BrainSLAM

Technical Report · Sun Sep 01 00:00:00 EDT 2019

DOI:https://doi.org/10.2172/1569159· OSTI ID:1569159

Aimone, James Bradley (Brad) ^[1]; Anwar, Abrar ^[1]; Musuvathy, Srideep ^[1]; Wang, Felix ^[1]

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1. Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

This research aims to develop brain-inspired solutions for reliable and adaptive autonomous navigation in systems that have limited internal and external sensors and may not have access to reliable GPS information. The algorithms investigated and developed by this project was performed in the context of Sandas A4H (autonomy for hypersonics) mission campaign. These algorithms were additionally explored with respect to their suitability for implementation on emerging neuromorphic computing hardware technology. This project is premised on the hypothesis that brain-inspired SLAM (simultaneous localization and mapping) algorithms may provide an energy-efficient, context-flexible approach to robust sensor-based, real-time navigation.

• Research Organization: Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: AC04-94AL85000
• OSTI ID: 1569159
• Report Number(s): SAND-2019-11302R; 679703
• Country of Publication: United States
• Language: English