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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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data pathway between distributed sensing nodes and a cloud-based platform for data fusion and analytics. Your role As a Research Technician, you be supporting and conducting research activities focused
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
, sensor perturbations) without catastrophic forgetting, building on the team’s prior work in continual and self-supervised learning. Adaptation to simulated environments: transfer of perception modules
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to: (1) Embodied AI and Machine Learning for Robotics; (2) Multi-Robot Systems; (3) Human–Robot Interaction; and (4) Robot Perception and Sensor Fusion. The selected candidate is expected to assume duty in
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imaging platforms in the Center mapping data from multiple (imaging) sensors into a shared domain (i.e. sensor fusion) developing quantitative methods for analyzing microscopy data deploying automated image
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workload assessment and performance analytics. This interdisciplinary position combines machine learning, wearable computing, sensor fusion, signal processing, speech analytics, human-computer interaction
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for scientific exploration and monitoring. Underwater positioning and navigation for deep-water robotic systems. ; Sensor fusion for deep-water robotics, including integration of INS, DVL, USBL/LBL
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) students working across planetary science, sensor engineering, and data fusion. We are a small, focused group that values rigorous science, collaborative working, and practical impact. Your responsibilities
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engineering behind 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
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). 5. Develop sensor fusion and navigation (e.g., IMU, vision, GNSS/DVL/encoders), with fault robustness 3. BRIEF PRESENTATION OF THE WORK PROGRAMME AND TRAINING: 1. Multi-platform reference architecture