An Integrated Planning and Learning Framework for Human-Robot Interaction - Archive ouverte HAL Access content directly
Conference Papers Year : 2009

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.
Fichier principal
Vignette du fichier
kirsch09integrated.pdf (2.36 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Loading...

Dates and versions

hal-01405650 , version 1 (30-11-2016)

Identifiers

  • HAL Id : hal-01405650 , version 1

Cite

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⟩
118 View
92 Download

Share

Gmail Facebook Twitter LinkedIn More