To create surveillance teams that will provide an edge to the warfighter in situation awareness, reconnaissance of hostile targets, and surveillance of opposing assets.

This MURI project is supported by the Office of Naval Research.

In today’s dynamic battlespace, human operators are consumed by the supervision of autonomous vehicles, constantly “tweaking” the system to obtain the required information. The Smarts project will bridge the currently disparate fields of machine learning and control theory to enable the development of novel, more intelligent, and more capable autonomous agents.

Smarts seeks to develop new algorithms and systems that will significantly increase:

  1. the ability of autonomous agents to interpret and reason about their environments in complex surveillance missions
  2. the ability of groups of autonomous agents to coordinate for tasks of larger scope than individual agent tasks
  3. the ability of humans to interact with the system at higher cognitive levels

This will provide the warfighter with time-accurate, continuous, and cognitive-level views of large and complex environments.

For more information on multi-agent surveillance systems please visit the Distributed Robotics Lab pages.

A persistent surveillance scenario in which Smarts agents coordinate to survey a complex scene with areas weighted by importance and recognize abnormal activity.