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Field
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revolution is increasing the flexibility of industrial production and optimizing it by linking traditional production with new technologies such as IoT sensors, edge and cloud systems. This heterogeneous
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program integrates the study of wireless networking, protocols, sensor networks, security, software development, embedded systems, data analytics, and big data to provide students with the knowledge and
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technology with robotic platforms to meet project-specific requirements. • Design and implement advanced control algorithms for autonomous operation. • Collaborate on robot simulation and hardware-in-the-loop
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manipulation strategies. Develop intelligent algorithms for the robotic execution of contact-rich manipulation tasks, enhancing adaptability, precision, and efficiency in a manufacturing context. Collaborate
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, measurement techniques, and algorithms in support of applications from a broad user base. This role resides in the Advanced Detection and Applied Data Science (ADADS) group, Nuclear Structure & Advanced
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state of the art research in computer vision, 3D processing, sensor fusion, machine learning, and other techniques to a real world outdoor ground robotic system. We emphasize regular field testing where
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diagnostic tools, automation, advanced software, and sensors and controls among others). Interact and collaborate with researchers from universities, national laboratories, and private industry. Present
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novel contributions to the field of computer vision and deep learning in smart manufacturing. These novel algorithms will then be integrated on to a mobile robotic system that will inform the design and
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for advancements in critical DoD areas, such as integrated hypersonics, directed energy, advanced materials, trusted AI and autonomy, robotics, FutureG, human-machine interfaces, and integrated sensors. We
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, path finding and routing algorithms, sense of direction, human computer interaction, cognitive navigation, intelligent mobility, and artificial intelligence. Sensor fusion and Signals of Opportunity We