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knowledge in their field of study Engage with new areas of basic and applied research Network with world-class scientists Exchange ideas and skills with the Laboratory community Use state-of-the-art equipment
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environments. Flight Dynamics and Control research makes significant usages of 6-DOF guided flight models to connect together component flight, control, and sensor models and understand their performance as a
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advanced actuators, smart materials, sensor systems, and new adaptive control methods to manage the open-ended degrees of freedom of morphing systems. Methods will span both active smart-material based
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through the use of mobile games and wearable sensors, which offer an opportunity to collect complex, continuous behavioral and physiological data from individuals over long (e.g., 6 months) periods of time
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collection of streaming sensor data. This project focuses on utilizing state-of-the-art reinforcement algorithms to 1) dynamically learn from multi-agent actions and context, 2) evaluate the environment and
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, configurations, and requirements. Research may be chosen from one or more of the following areas: (1) M&S code functionality; (2) Intercept dynamics; (3) Sensor and tracking modeling; (4) Countermeasure M&S
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Fusion of information from heterogeneous sensors for robot missions Optimization of complex algorithms for computationally limited platforms Experimentation and validation methods in robotics Adaptive