Evaluating the impacts of a priori robot competency assessments on human decision-making
A project to investigate how communication of a robot’s a priori competency estimate impacts human decision-making.
A project to investigate how communication of a robot’s a priori competency estimate impacts human decision-making.
A project to evaluate a metric and algorithm which enables an autonomous robot to quantify when and how its competency changes in situ.
A project to investigate how human users employ robots capable of quantifying, communicating, and updating estimates of their competency.
A collaboration between CU Boulder, the University of North Carolina Chapel Hill, and Lockheed Martin Space to develop information displays, machine learning, and data fusion algorithms to assist operators in OPIR and data exploitation missions.