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of a vestibular-inspired neuromorphic microchip (VEST-CHIP) designed for real-time, ultra-low-power bilateral sensor processing to enable continuous monitoring in wearable — and potentially implantable
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on effective and safe inspection and maintenance. Current maintenance approaches rely primarily on turbine sensor data, meaning that human and organizational factors are largely overlooked. This represents a
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of maintenance. The project aims to develop an integrated decision-support framework that combines inspection images, sensor data, and engineering interpretation to enable more transparent, evidence-based
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floating laboratories in the project. The research will involve processing and analyzing large volumes of operational data from onboard systems, including propulsion, navigation, environmental sensors, and
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Perception and Situational Awareness Using Multi-Modal Sensor Fusion Cooperative Control of Heterogeneous Robotic Systems As a PhD Fellow at OsloMet, you have the opportunity to apply for funding for extended