Skip to Main content Skip to Navigation
Conference papers

An Integrated Planning and Learning Framework for Human-Robot Interaction

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.
Complete list of metadatas

Cited literature [14 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01405650
Contributor : Alexandra Kirsch <>
Submitted on : Wednesday, November 30, 2016 - 11:24:31 AM
Last modification on : Monday, December 5, 2016 - 11:18:43 AM
Document(s) archivé(s) le : Monday, March 27, 2017 - 7:57:14 AM

File

kirsch09integrated.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : hal-01405650, version 1

Citation

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. ⟨hal-01405650⟩

Share

Metrics

Record views

134

Files downloads

252