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conventional perception pipelines towards AI systems that can observe, remember, anticipate, and act. The project will examine questions around multimodal representation learning, temporal modelling, predictive
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project - “Multimodal visual route following for UAV precision repeat-pass surveying”. He/She will be required to: (a) conduct research on multimodal visual perception and route-following for UAV repeat
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. The research areas include multimodal sensing, artificial intelligence, environmental perception and situational awareness, as well as real-time motion planning and decision-making, allowing humanoid robots
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. The research areas include multimodal sensing, artificial intelligence, environmental perception and situational awareness, as well as real-time motion planning and decision-making, allowing humanoid robots
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advanced machine learning models, including multimodal perception and foundation model based systems, within distributed data, training, and inference pipelines. Perform hands-on research engineering at
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the consequences of actions, and adapt reliably when the physical world changes? The project connects multimodal perception, reasoning and action with predictive learning and edge intelligence. Research directions
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, ECG, GSR and other biosignals. Multimodal data analysis Machine learning and advanced statistical modeling Research experience in perception, consciousness, cognition, or emotions will also be valued
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. Key Responsibilities: Develop and implement perception and control algorithms for robotic arms and embodied AI systems. Assist in integrating multimodal AI models (vision, language, force sensors) with
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on multimodal perception (vision–language models), probabilistic state estimation and 3D mapping/SLAM, and graph-based representations (scene/knowledge graphs). The work is funded by a Finland-US joint project in
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100%, Zurich, fixed-term The Sensing, Interaction & Perception Lab invites applications for a fully funded PhD position at ETH Zürich at the intersection of robotics, wearable sensing, signal