BrainSLAM
Sandia National Laboratories (SNL), Albuquerque, NM (United States). New Mexico Small Business Assistance (NMSBA) Program, NM (United States), James Aimone, USDOE Assistant Secretary for Human Resources and Administration, Abrar Anwar, Srideep Musuvathy, Felix Wang · 2019
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.