Our research focuses on building agents that are effective and natural teammates. This involves developing agents (whether robots or software agents) that are not only capable in the world, but also can interact with humans or other agents as part of a team. This research goal draws upon planning and scheduling, machine learning, human-robot interaction, and cognitive science, among other disciplines. Example avenues of work include developing approaches for planning and execution on several different robotic platforms, work on goal reasoning (e.g., goal-directed autonomy), and using techniques from cognitive science to direct learning over long periods of time.

Additional Benefits

Awardees who reside more than 50 miles from their host laboratory and remain on tenure for at least six months are eligible for paid relocation to within the vicinity of their host laboratory.

A group health insurance program is available to awardees and their qualifying dependents in the United States.