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Field
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from manufacturing sensors and XR headsets (video, audio, motion). This includes building multimodal AI pipelines, generating procedural representations, and contributing to the integration of real-time
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integrated sensor arrays. The project combines several different concepts: Progress in understanding insect neurobiology that provides proven circuit designs to solve significant problems such as autonomous
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off-the-shelf sensors and the development of resilient algorithms that combine first-principles modeling with modern machine learning techniques. The goal is to push the boundaries of robust perception
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healthcare for FOG; identify technical requirements for the development of just FMs-based solutions for FOG. Develop a data collection method embedding wearable IMU sensors for monitoring FOG in everyday life
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MobiMaestro, a multimodal traffic-management platform adopted by almost every major Dutch municipality and several provinces. MobiMaestro fuses real-time data from roadside sensors, connected-vehicle feeds
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Sciences. The research work will focus on developing a scalable, robust positioning framework by integrating GNSS and emerging LEO-PNT signals with distributed AI and multimodal sensor data. The researcher
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locomotion. Apply machine learning and machine vision algorithms to track body and limb movements. Use biomechanical modeling to analyze walking data and fit locomotion models. Operate a force sensor to
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Organisation Job description Project and job description Our project will make use sensing technologies (hyperspectral cameras, NIR and Raman sensors), and an edge-compute AI pipeline to sort used
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cooperation between Tallinn University of Tech- nology (TalTech) and University of Tartu, combining TalTech’s strengths in modelling, software and sensor tech- nologies with the University of Tartu’s expertise
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available sensor and meter infrastructure, affordable computational resources, and advanced modeling algorithms. MPCs excel in handling constrained optimizations and new operational conditions, whereas RLs