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Field
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, information sharing, reporting and robot navigation. Develop sensor data fusion algorithms that are an essential element of the joint robot mapping tasks in the presence of data origin uncertainties. Knowledge
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the development, implementation, and testing of signal processing and imaging algorithms for high-frequency ultrasound structural and functional imaging. Support experimental setup, data collection, phantom
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benefit trade-offs of sensor and actuator layouts, e.g., for improved ventilation. Hybrid data-driven and model-based control algorithms for improved online decision-making, e.g., for ventilation
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in collaborative robotic tasks. Responsibilities include sensor integration, data collection, signal processing, and algorithm development. Perform other duties as assigned or requested by the direct
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 months ago
the equipped sensors, and of the online detection algorithm Experimental study and validation of the approach. Investigation of efficient algorithms for offline workspace characterization. Redaction
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involve, but are not limited to, Sensor node hardware design and antenna evaluationRFSoC-based multichannel acquisition and system integrationHardware verification and experimental testingIntegration
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and propulsion systems. You will be part of a multidisciplinary research team to develop advanced predictive maintenance solutions involving sensor integration, high-speed data acquisition, electrical
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, and algorithmic solutions for deployment in safety-critical environments. The work ranges from the integration of novel sensor systems and the implementation of advanced AI approaches in the respective
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-making, information sharing, reporting and robot navigation. Develop sensor data fusion algorithms that are an essential element of the joint robot mapping tasks in the presence of data origin
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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