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vehicles (UAVs), autonomous surface vehicles (ASVs), and autonomous underwater vehicles (AUVs). Cooperation between aerial, surface, and underwater platforms can provide complementary sensing capabilities
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on autonomous platforms, such as unmanned aerial vehicles (UAVs/drones) and unmanned surface vehicles (USVs). The goal is to create systems capable of autonomously deploying and adapting a communication
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 12 hours ago
advanced manufacturing, precision metrology, battery research, motorsports and automotive engineering, control systems, computational mechanics, hypersonics, transport phenomena, and autonomous vehicles
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the development of autonomous underwater vehicles (AUVs) and their sensor/processing packages, and will deploy and test AUVs for sponsor-required applications. The finalist selected will also design, build, test
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construction methods that are required to effectively use new materials. Autonomous mobility: Autonomous vehicle control and trajectory planning; mixed traffic with fleets of autonomous vehicles; AI-enabled
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . We are looking for a Research Engineer in Autonomous Drone Swarms for GPS-Denied Environments to develop and
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, software de control, pruebas y validación para vehículos autónomos dentro de las tareas del proyecto ADEPT/Development of electronic systems, control software, testing and validation for autonomous vehicles
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-empowered transportation Connected and autonomous vehicles (CAV) Human factors in transportation Logistics and freight transportation Mobility as a service (MaaS) Transportation Economics Transportation
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of new sensors, platforms, and sensing paradigms to answer fundamental questions in oceanography and to advance the use of autonomous underwater vehicles. Specifically, the research will advance the use
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-dimensional variational (4D-Var) modeling with research involving sensors and autonomous vehicles. The work will address autonomy and path planning; use Observing System Simulation Experiments (OSSEs