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Field
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Location: Streatham Campus About the ProjectProject details Self-adaptive and autonomous systems are increasingly deployed in dynamic and uncertain environments, where effective decision-making
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representation. The research will be conducted within the Robotics and InteractionS team at LAAS-CNRS, a historically renowned research environment for Human–Robot Interaction and autonomous robotics. The project
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-theoretic tools to develop and evaluate precision measurement and sensing protocols. Ability to work autonomously whilst displaying a strong commitment to work in a team environment, including the
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capable of autonomously performing cardiac ultrasounds. The starting date will be agreed with the successful candidate. The workplace is at SDU's main campus in Odense, Denmark, and the work is expected
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. This PhD targets principled ways to detect, analyze, and mitigate hallucinations in video-based LVLMs for autonomous driving. Objectives Design, develop, and evaluate novel method(s) to detect and localize
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mitigate hallucinations in video-based LVLMs for autonomous driving. Objectives Design, develop, and evaluate novel method(s) to detect and localize hallucinations in LVLM outputs for autonomous driving
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that monitors the radiation beam in real time, learns from data how the dose evolves, and autonomously reacts to protect patients from anomalies. The work involves both experimental physics and AI modelling
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, we aim to create autonomous “self-driving” microscopes that: build statistical models of biological dynamics in real time predict the most informative next experiment execute it automatically on living
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call Proyectos de Generación de Conocimiento 2023 by the Spanish Ministry of Science and Innovation at http://www.ibecbarcelona.eu/phd We Offer: Number of available positions: 1 Predoctoral researcher
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autonomous unmanned systems see growing deployment in real-world settings, swarms of these systems are becoming essential for accomplishing tasks that cannot be handled by a single robot. In challenging