By Topic

Towards proactive human-robot interaction in human environments

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

13 Author(s)
Martin Buss ; Institute of Automatic Control Engineering (LSR), Technische Universität München, D-80290 Munich, Germany ; Daniel Carton ; Barbara Gonsior ; Kolja Kuehnlenz
more authors

This paper investigates proactive task-related Human-Robot Interaction (HRI) in human environments. The presented approach eventually aims for multi-modality by combining speech, gesture, and emotional facial mimicry. A first step is to focus on exploring the potentials and limitations of each modality in order to enable a robot to control a dialog in terms of proactive retrieval of missing task knowledge from humans in a natural and intuitive way. In this paper, each modality is investigated separately in the context of the IURO (Interactive Urban Robot) project, where a robot asks for its way to a predefined goal location.

Published in:

Cognitive Infocommunications (CogInfoCom), 2011 2nd International Conference on

Date of Conference:

7-9 July 2011