The Adaptive Systems Section conducts state-of-the-art basic and applied research in machine learning, autonomous systems, and mobile robotics.

Our emphasis is on techniques that allow systems to:

  • change their level of autonomy on the fly based on the situation and the current interactions with users,
  • adapt to changes in their environment and to changes in their own capabilities,
  • learn new behaviors through interaction with the world, and
  • interact more naturally with humans.

Applications include autonomous vehicles (including underwater, surface, ground, and air vehicles, and mobile robots), intelligent decision aids, lessons learned systems, and command and control systems.

David W. Aha
Head, Adaptive Systems
Code 5514
Naval Research Laboratory
Washington, DC 20375
Email: w5514 "at"