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to the properties of live sensor data: sparse, unevenly sampled, motion-distorted and partially observed Implement and evaluate the resulting systems on embedded hardware and on NIBIO's robot platforms Professional
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application process here. About the position Are you motivated to develop next-generation research infrastructure at the intersection of robotics, mechatronics, sensor systems, and life science technology? We
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research infrastructure at the intersection of robotics, mechatronics, sensor systems, and life science technology? We have a vacancy for a PhD Candidate at the Department of Mechanical and Industrial
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detection and free space estimation. However, current neural networks are typically developed for a specific radar configuration and task, and often generalize poorly to other sensors. At the same time, large
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multimodal sensors, wireless connectivity, edge intelligence, and robotic actuation. This platform will enable system-level validation of new approaches in dynamic physical environments and provide a basis for
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multimodal sensors, wireless connectivity, edge intelligence, and robotic actuation. This platform will enable system-level validation of new approaches in dynamic physical environments and provide a basis for
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’–mechanical networks built from many sensors and actuators that locally communicate with one another to achieve collective functionality. These active networks could enable next-generation bioinspired robots
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. Agricultural robots, drones, IoT sensors, and smart farming platforms are transforming crop production by improving efficiency, reducing labour, and supporting more sustainable practices. However, these
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
computation time, and a complex design. To solve these issues, we propose to follow an original approach where the robot is seen as the assembly of modular limbs, each one having its own sensors, actuators and
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per year, subject to annual increases. About the Project (Background & Methodology) Autonomous systems such as drone fleets, mobile robots, and sensor networks increasingly use federated learning (FL