Jeffrey R. Peters

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Jeffrey R. Peters1, Vaibhav Srivastava2, Grant S. Taylor3, Amit Surana4, Francesco Bullo1, and Miguel P. Eckstein5 1Center for Control, Dynamical Systems, and Computation, UCSB 2Department of Mechanical and Aerospace Engineering, Princeton University 3US Army Aeroflightdynamics Directorate, Moffett Field 4United Technologies Research Center, Hartford(More)
This paper outlines the development and testing of a novel, feedback-enabled <i>attention allocation aid (AAAD)</i>, which uses real-time physiological data to improve human performance in a realistic sequential visual search task. Indeed, by optimizing over search duration, the aid improves efficiency, while preserving decision accuracy, as the operator(More)
A decomposition-based coverage control scheme is proposed for multi-agent, persistent surveillance missions operating in a communication-constrained, dynamic environment. The proposed approach decouples high-level task assignment from low-level motion planning in a modular framework. Coverage assignments and surveillance parameters are managed by a central(More)
Task-based, rather than vehicle-based, control architectures have been shown to provide superior performance in certain human supervisory control missions. These results motivate the need for the development of robust, reliable usability metrics to aid in creating interfaces for use in this domain. To this end, we conduct a pilot usability study of a(More)
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