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Robust Autonomy and Decisions

The Robust Autonomy and Decisions group is a research group within the Institute of Perception, Action and Behaviour, School of Informatics, University of Ed...



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Robust Autonomy and Decisions

https://youtube.com/user/ipabrad

The Robust Autonomy and Decisions group is a research group within the Institute of Perception, Action and Behaviour, School of Informatics, University of Ed...



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Robust Autonomy and Decisions

The Robust Autonomy and Decisions group is a research group within the Institute of Perception, Action and Behaviour, School of Informatics, University of Ed...

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      The Robust Autonomy and Decisions group is a research group within the Institute of Perception, Action and Behaviour, School of Informatics, University of Edinburgh, directed by Prof Subramanian Ramamoorthy. We investigate learning, adaptation and control mechanisms to enable autonomous robots to cope with the uncertain and the unknown. Our research focus areas include: - Dexterous manipulation skills: understanding what humans/animals do, in order to achieve similar robotic skills - Human-robot interaction, including paradigms such as machine teaching - Active sensing and incremental, compositional model learning - Physics-informed machine learning, including geometric/topological representations and multi-scale modelling - Safety and trustworthiness of autonomous systems
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      The Robust Autonomy and Decisions group is a research group within the Institute of Perception, Action and Behaviour, School of Informatics, University of Edinburgh, directed by Prof Subramanian Ramamoorthy. We investigate learning, adaptation and control mechanisms to enable autonomous robots to cope with the uncertain and the unknown. Our research focus areas include: - Dexterous manipulation skills: understanding what humans/animals do, in order to achieve similar robotic skills - Human-robot interaction, including paradigms such as machine teaching - Active sensing and incremental, compositional model learning - Physics-informed machine learning, including geometric/topological representations and multi-scale modelling - Safety and trustworthiness of autonomous systems
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