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, signal processing, sensor fusion, machine learning, and data-driven modeling, with the broader goal of advancing human-centered intelligent infrastructure, smart cities, and resilient communities
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to support dynamic digital twin simulations. Multimodal Data & Sensor Fusion: Implement or accelerate processing and inference algorithms for real-time multimodal data, natural language, signal, and image
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robotics using Artificial Intelligence (AI) and advanced sensor fusion techniques. The research will investigate how UWB measurements can be combined with data from onboard sensors such as inertial
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the development of fusion energy, a potentially limitless energy source. PPPL is also using its expertise to advance research in the areas of microelectronics, quantum sensors and devices, and sustainability
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. The project will involve drone optimizations, computer vision, closed-loop control, multi-modal sensor fusion, machine learning, and transfer learning methods. The candidate will also work in collaboration with
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Qualifications* Experience with Vicon motion capture systems Experience with force/torque sensors and multimodal sensor fusion Prior research experience in robotics manipulation Modes of Work Positions that
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the development of fusion energy, a potentially limitless energy source. PPPL is also using its expertise to advance research in the areas of microelectronics, quantum sensors and devices, and sustainability
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the gathered survey data to explore advanced platform compensation techniques, map matching and magnetic navigation solutions. This project aims to investigate the advantages of multi-sensor fusion (inertial
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are robotics for mines, construction sites, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and multirobot coordination, including multirobot perception
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are robotics for mines, construction sites, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and multirobot coordination, including multirobot perception