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research on risk perception, risk tolerance, and adaptation readiness among residents and businesses, using surveys, in-depth interviews, focus groups, and behavioural experiments. Lead Module B: Community
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Responsibilities Systematically define user and system requirements, develop system architecture, and conduct feasibility assessments. Design perception and sensor fusion frameworks using cameras, LiDAR, depth
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visual perception and localization for robots Strong experience in designing robotic algorithms on embedded systems; At least 4 years of experience in the relevant field. Excellent teamwork and verbal
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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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mapping and semantic perception. Action policy learning and embodied intelligence. Learning foundation models for semantic, depth, and state estimation (e.g., similar in spirit to MapAnything). Latent-space
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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 institutional responses; Support the adaptation, administration, and validation of psychological and social assessment instruments addressing perceptions and experiences of interpersonal violence