Abstract : Assistive robot systems require a robot to interact closely with people and to perform joint human-robot tasks. Interaction with humans comes with additional challenges to those in other real-world scenarios. Robot plans must be especially flexible and take into account human abilities and preferences. For providing this level of flexibility, we propose a framework for trans-formational reactive planning that includes the capability to learn models of the human during plan execution. We show how this framework can be extended to the special requirements of human-robot interaction.
Type de document :
Communication dans un congrès
4th Workshop on Planning and Plan Execution for Real-World Systems, 2009, Thessaloniki, Greece. 2009
https://hal.archives-ouvertes.fr/hal-01405650
Contributeur : Alexandra Kirsch
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Soumis le : mercredi 30 novembre 2016 - 11:24:31
Dernière modification le : lundi 5 décembre 2016 - 11:18:43
Document(s) archivé(s) le : lundi 27 mars 2017 - 07:57:14
Alexandra Kirsch, Thibault Kruse, Lorenz Mösenlechner. An Integrated Planning and Learning Framework for Human-Robot Interaction. 4th Workshop on Planning and Plan Execution for Real-World Systems, 2009, Thessaloniki, Greece. 2009. 〈hal-01405650〉
