Paper Info
Title
The Autonomous City Explorer Project: Aims And System Overview
Abstract
As robots are gradually leaving highly structured factory environments and moving into human populated environments, they need to possess more complex cognitive abilities. Not only do they have to operate efficiently and safely in natural populated environments, but also be able to achieve higher levels of cooperation and interaction with humans. The Autonomous City Explorer (ACE) project envisions to create a robot that will autonomously navigate in an unstructured urban environment and find its way through interaction with humans. To achieve this, research results from the fields of autonomous navigation, path planning, environment modeling, and human-robot interaction are combined. In this paper a novel hardware platform is introduced, a system overview is given, the research foci of ACE are highlighted, approaches to the occurring challenges are proposed and analyzed, and finally some first results are presented.
Year
DOI
Venue
2007
10.1109/IROS.2007.4399411
2007 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-9
Keywords
Field
DocType
remotely operated vehicles,human robot interaction,natural population,path planning,cognitive ability,mobile robots
Motion planning,Remotely operated underwater vehicle,Computer science,Simulation,Urban environment,Control engineering,Human–computer interaction,Robot,Human–robot interaction,Mobile robot
Conference
Citations 
PageRank 
References 
18
1.43
16
Authors
7
Name
Order
Citations
PageRank
Georgios Lidoris11047.62
Klaas Klasing21568.35
Andrea Maria Bauer31297.88
Tingting Xu41239.59
Kolja Kühnlenz543040.87
Dirk Wollherr667360.01
Martin Buss71799159.02