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Odometry (LIO), Visual-Inertial Odometry (VIO), and multi-sensor fusion for UAVs and other agile platforms. The Research Fellow will develop high-performance, robust estimation algorithms that operate
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and navigation algorithms for robot in complex environments. Key Responsibilities: Responsible for development of robust and reliable sensor fusion algorithms for localization and navigation algorithms
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, Effects, and Criticality Analysis (FMECA), functional FMECA, advanced sensing techniques, sensor and operational data fusion, data analytics, and machine learning algorithms for condition monitoring, fault
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Responsibilities: Design and implement advanced AI/ML models for healthcare applications, including predictive analytics and generative AI solutions. Develop and validate digital phenotyping algorithms using
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settings. Our project focuses on knitting of functional yarns through which knitted wearable with sensors and electronics are achieved in a single knit. Our knitted wearable solutions aims for real world