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@SALA4-NASA-ULI

SALA4 NASA ULI

NASA ULI project advancing safety and resilience of Advanced Air Mobility with intelligent autonomy and adaptive control technologies.

SALA4 - Safety-Aware Learning and Assured Autonomy for Aviation Applications

The Safety-Aware Learning and Assured Autonomy for Aviation Applications (SALA4) project is part of NASA's University Leadership Initiative (ULI). It focuses on advancing the safety and resilience of next-generation Advanced Air Mobility (AAM) systems through the development of intelligent autonomy and adaptive control technologies.

This repository is part of a multi-disciplinary, multi-institutional collaboration among academia and industry partners. It hosts the latest algorithms, tools, and simulation environments developed under the SALA4 effort.

Research Topics

The project is organized into five major research topics:

  1. Adaptive and Intelligent Health Monitoring
  2. Learning Safe Trajectories
  3. Model-based and Model-free Control
  4. Learning Power and Metacognition
  5. Validation and Experimentation

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  1. .github .github Public

  2. Generic-Urban-Air-Mobility-GUAM Generic-Urban-Air-Mobility-GUAM Public

    Forked from ADCL-Group/Generic-Urban-Air-Mobility-GUAM

    NASA generic UAM simulation using Lift+Cruise vehicle configuration

    MATLAB 2

  3. fmt-path-planner fmt-path-planner Public

    Forked from ADCL-Group/fmt-path-planner

    MATLAB

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