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Andrew Coles is a Reader in the Artificial Intelligence Research Group at King's College London. His research focuses on topics such as temporal numeric planning, robotic autonomous systems, and explainable planning. Coles is particularly interested in human-robot collaboration and the development of methods to enhance the interaction between humans and robots. His work has been published widely in international conferences and journals, covering areas like planning execution using dispatch-dependent values and multimodal interaction. Coles also explores the intersection of human social intuitions and large language models in the context of human-robot interactions. His contributions to the field include research on effective planning strategies for autonomous systems and the evaluation of methods for improving planning performance in various domains. Coles is committed to advancing the understanding of how robots can better function alongside humans in dynamic environments and is involved in several projects aimed at creating more intuitive robotic systems that can assist in everyday tasks.
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