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
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;
Conference_Titel :
Artificial Life (ALIFE), 2011 IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
978-1-61284-062-8
DOI :
10.1109/ALIFE.2011.5954644
