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Transformational Planning for Everyday Activity

Abstract : We propose an approach to transformational planning and learning of everyday activity. This approach is targeted at autonomous robots that are to perform complex activities such as household chore. Our approach operates on flexible and reliable plans suited for long-term activity and applies plan transformations that generate competent and high-performance robot behavior. We show as a proof of concept that general transformation rules can be formulated that achieve substantially and significantly improved performance using table setting as an example.
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https://hal.archives-ouvertes.fr/hal-01361446
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  • HAL Id : hal-01361446, version 1

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Armin Müller, Alexandra Kirsch, Michael Beetz. Transformational Planning for Everyday Activity. 17th International Conference on Automated Planning and Scheduling (ICAPS'07), 2007, Providence, RI, United States. pp.248-255. ⟨hal-01361446⟩

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