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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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and scholarship in language comprehension, multimodal communication, cognitive ageing, attention, prediction, speech perception, or related areas. Experience and achievement reflected in a growing
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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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, multimodal sensing, LiDAR processing, or infrastructure monitoring is required. Familiarity with machine learning, large language models, agentic AI, AI-based perception, and data integration is important
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mechanistic insights linking textural dynamics to sensory perception. Integrate multi-modal datasets from different mastication simulators into a 3D Principal Component Analysis (PCA) space, enabling
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Overall Role Lead the end-to-end research and development of next-generation pipeline inspection and repair robotic systems, covering mechanical design innovation, perception and navigation
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Norway’s research group for User Perception and Engagement in XR Experiences. ND conducts research in networks and distributed systems of all scales, multimedia and AR/VR/XR systems, robotics and machine
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characteristics, brittleness vs. plasticity, and frictional/lubrication properties. Generate mechanistic insights linking textural dynamics to sensory perception. Integrate multi-modal datasets from different
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and Distributed Systems Research Group (ND) with co-supervision from IFI’s Machine Learning section and the University of Inland Norway’s research group for User Perception and Engagement in XR
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/Research Fellow(SRF/RF) to carry out research in robotics and machine learning by exploring cutting-edge approaches such as learning-based robot perception, adaptive control with reinforcement learning