DocumentCode
2721644
Title
Evolving composite robot behaviour - a modular architecture
Author
Larsen, Tobias ; Hansen, Søren Tranberg
Author_Institution
Comput. Sci., Roskilde Univ., Denmark
fYear
2005
fDate
23-25 June 2005
Firstpage
271
Lastpage
276
Abstract
We have developed a composite control system for solving complex tasks with autonomous robots. The control system is evolved using artificial evolution and can be regarded as a modular decision tree where every node is a neural network. We show that the control system is robust to noise, is reactive, is extendable and can be set up to be configured automatically. Furthermore we show that robots in the real world work using this control system.
Keywords
decision trees; evolutionary computation; neural nets; robots; robust control; artificial evolution; autonomous robots; composite control system; modular architecture; modular decision tree; neural network; robot behaviour evolution; robust control; Automatic control; Computational modeling; Computer science; Computer simulation; Control systems; Evolutionary computation; Neural networks; Robot control; Robot sensing systems; Robotics and automation;
fLanguage
English
Publisher
ieee
Conference_Titel
Robot Motion and Control, 2005. RoMoCo '05. Proceedings of the Fifth International Workshop on
Print_ISBN
83-7143-266-6
Type
conf
DOI
10.1109/ROMOCO.2005.201435
Filename
1554414
Link To Document