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systems that combine vision-language-action (VLA) modeling, robotic perception and interaction, and autonomous task execution. The Research Engineer will assist in system design, software implementation
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-the-loop control for extreme robotics applications, including high performance algorithms for 3D perception, model predictive control, reinforcement learning, generative AI, and simulation and virtual
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Department: Computer Languages and Systems Research profile: Model-driven engineering and intelligent and inclusive systems in health and education Position number: DF03222 Area of knowledge: Computer
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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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Hyperexcitability and Aberrant Perceptions in the Visual Cortex. This 4-year project is funded by the UKRI (BBSRC) awarded to the principal researcher Dr Jason J Braithwaite and focuses on examining cortical
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. At present there is specific interest in advanced 3D perception techniques such as geometric foundation models, implicit neural rendering (NeRF, Gaussian Splatting) as well as semantic mapping. Our research
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/or quantifying the performance envelope, robustness, and safety properties of perception systems that encompass learning-based models. Develop methods and tools for automatic/procedural generation
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behavioral measures in healthy human participants combined with quantitative modelling. The successful candidate will be required to design, program and conduct EEG-experiments, analyze and interpret EEG and
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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