Title
The Autonomous City Explorer: Towards Natural Human-Robot Interaction in Urban Environments
Abstract
The Autonomous City Explorer (ACE) project combines research from autonomous outdoor navigation and human-robot interaction. The ACE robot is capable of navigating unknown urban environments without the use of GPS data or prior map knowledge. It finds its way by interacting with pedestrians in a natural and intuitive way and building a topological representation of its surroundings. In a recent experiment the robot managed to successfully travel a 1.5 km distance from the campus of the Technische Universität München to Marienplatz, the central square of Munich. This article describes the principles and system components for navigation in urban environments, information retrieval through natural human-robot interaction, the construction of a suitable semantic representation as well as results from the field experiment.
Year
DOI
Venue
2009
10.1007/s12369-009-0011-9
I. J. Social Robotics
Keywords
Field
DocType
Human-robot interaction,Knowledge representation,Social robotics,Field robotics,Autonomous outdoor navigation
Social robot,Gps data,Knowledge representation and reasoning,Simulation,Psychology,Mobile robot navigation,Semantic representation,Robot,Human–robot interaction
Journal
Volume
Issue
ISSN
1
2
1875-4791
Citations 
PageRank 
References 
49
2.57
17
Authors
10
Name
Order
Citations
PageRank
Andrea Maria Bauer11297.88
Klaas Klasing2492.57
Georgios Lidoris31047.62
Quirin Mühlbauer4694.91
Florian Rohrmuller5977.40
Stefan Sosnowski616012.94
Tingting Xu71239.59
Kolja Kühnlenz843040.87
Dirk Wollherr967360.01
Martin Buss101799159.02