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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 6 days ago
a Research Infrastructure? No Offer Description Applications are open for 1 Research Studentship(s), within the framework of project Exploring Robotlike RObot behavioRs in users’ Mental Models (ERROR
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environment perception in autonomous driving by integrating acoustics. Possible research directions include the use of audio-visual foundation models, audio-driven sensor fusion for object detection, cross
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physical disturbances, encompassing both safety-related faults and security-related attacks. The work will: (1) Identify, model, and reproduce representative perturbations that may cause abnormal or unsafe
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of tactile behaviors on robotic platforms and the design of user studies to evaluate perception, interpretation, and user experience. The expected outcomes include computational models and design guidelines
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., RGB-D, thermal, LiDAR, tactile), universal perception frameworks (e.g., Vision-Language-Action (VLA) models, Transfer Learning, self-supervised learning) that generalise across tasks and scenarios in
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neurotechnology Vision serves as our core model system, allowing us to link detailed neural mechanisms to perception, behaviour, and disease. With this in mind, IndiBrain focusses on three key research topics: 1
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cooperative behaviors such as joint mapping, coordinated inspection, or adaptive navigation. Digital twin simulation and testing: Developing and using digital twin models to simulate the integrated sensor suite
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perception, comprehensive and standardised methodologies that integrate both spatial and temporal dynamics remain limited. This gap constrains the capacity to assess dynamic exposure conditions along mobility
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language models, and Large Language Models. Please find prior work here: (Google Scholar: https://scholar.google.com/citations?hl=en&user=oEifmSgAAAAJ&view_op=list_works&sortby=pubdate). We also
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between HDR and SDR worlds, ensuring consistent colour and contrast perception across luminance levels. Building on cutting-edge psychophysical models, this research promises to reshape how we see, capture