DocumentCode
2306972
Title
Evolving robot controllers in PDL using genetic programming
Author
Shannon, Peter ; Nehaniv, Chrystopher L.
Author_Institution
Sch. of Comput. Sci., Univ. of Hertfordshire, Hatfield, UK
fYear
2011
fDate
11-15 April 2011
Firstpage
92
Lastpage
99
Abstract
We demonstrate how autonomous agents can be evolved whose controllers are programs in the dynamical systems-oriented, behaviour-based PDL language introduced by Luc Steels. Controllers evolved using a physics simulator solved the problem of parallel parking a car without colliding into obstacles on three sides of a parking area.
Keywords
control engineering computing; genetic algorithms; robot programming; autonomous agents; behaviour-based PDL language; dynamical systems-oriented language; genetic programming; parallel parking; physics simulator solved; robot controllers; Genetics; Robot sensing systems; Steel; Vehicles; Wheels;
fLanguage
English
Publisher
ieee
Conference_Titel
Artificial Life (ALIFE), 2011 IEEE Symposium on
Conference_Location
Paris
ISSN
2160-6374
Print_ISBN
978-1-61284-062-8
Type
conf
DOI
10.1109/ALIFE.2011.5954644
Filename
5954644
Link To Document