Jacob Crossman

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Tasks like search-and-rescue and urban reconnaissance benefit from large numbers of robots working together, but high levels of autonomy are needed to reduce operator requirements to practical levels. Reducing the reliance of such systems on human operators presents a number of technical challenges, including automatic task allocation, global state and map(More)
— Typical human-robot interaction (HRI) is through tele-operation or point-and-click interfaces that require extensive training to become proficient and require the user's complete attention to operate. For unmanned platforms to reach their full potential, users must be able to exert supervisory control over those platforms. This requires more effective(More)
—In this paper we introduce work toward this goal of enabling an operator to effectively maintain situation awareness over a team of heterogeneous robots. Most existing operator control units (OCUs) are designed for tele-operation of a single robot and require the constant attention of the operator. As the role of robots increase in important fields such as(More)
– Multi-hypothesis, kinematic trackers are the state-of-the-art in automated GMTI data processing. These systems are not designed to recognize long duration behaviors and under complex conditions these systems often produce track snippets. Our approach, which we call Cognitive Fusion because of it's structural similarity to human analysis methods, reframes(More)
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