Paper published in a book (Scientific congresses, symposiums and conference proceedings)
Intelligent autonomous navigation for mobile robots: spatial concept acquisition and object discrimination
Antonelo, Eric Aislan; Figueiredo, Mauricio; Baerlvedt, Albert-Jan et al.
2005In Proceedings of the 6th IEEE International Symposium on Computational Intelligence in Robotics and Automation
Peer reviewed
 

Files


Full Text
2005_eric_cira.pdf
Author postprint (141.66 kB)
Download

All documents in ORBilu are protected by a user license.

Send to



Details



Abstract :
[en] An autonomous system able to construct its own navigation strategy for mobile robots is proposed. The navigation strategy is molded from navigation experiences (succeeding as the robot navigates) according to a classical reinforcement learning procedure. The autonomous system is based on modular hierarchical neural networks. Initially the navigation performance is poor (many collisions occur). Computer simulations show that after a period of learning the autonomous system generates efficient obstacle avoidance and target seeking behaviors. Experiments also offer support for concluding that the autonomous system develops a variety of object discrimination capability and of spatial concepts.
Disciplines :
Computer science
Author, co-author :
Antonelo, Eric Aislan ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Figueiredo, Mauricio
Baerlvedt, Albert-Jan
Calvo, Rodrigo
External co-authors :
yes
Language :
English
Title :
Intelligent autonomous navigation for mobile robots: spatial concept acquisition and object discrimination
Publication date :
2005
Event name :
6th IEEE International Symposium on Computational Intelligence in Robotics and Automation
Event date :
27-06-2005 to 30-06-2005
Audience :
International
Main work title :
Proceedings of the 6th IEEE International Symposium on Computational Intelligence in Robotics and Automation
ISBN/EAN :
0-7803-9355-4
Pages :
553-557
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 29 August 2018

Statistics


Number of views
58 (0 by Unilu)
Number of downloads
116 (0 by Unilu)

Scopus citations®
 
8
Scopus citations®
without self-citations
2
WoS citations
 
4

Bibliography


Similar publications



Contact ORBilu