Response to changes in key stimuli through the co-evolution of sensor morphology and control

Co-evolving a robotpsilas sensor morphology and control program increases the potential that it can effectively complete its tasks and provides a means for adapting to changes in the environment. In previous work, we presented a learning system where the angle, range, and type of sensors on a hexapo...

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Bibliographic Details
Published in2008 World Automation Congress pp. 1 - 8
Main Authors Parker, G., Nathan, P.J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.09.2008
Subjects
Adaptation
Co-evolution
Control
Educational institutions
Evolutionary Computation
Evolutionary Robotics
Genetic Algorithm
Genetic algorithms
Hexapod
Learning
Learning systems
Legged locomotion
Legged Robot
Morphology
Navigation
Robot control
Robot sensing systems
Sensor Morphology
Sensor systems
Stimuli
Working environment noise
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Summary:Co-evolving a robotpsilas sensor morphology and control program increases the potential that it can effectively complete its tasks and provides a means for adapting to changes in the environment. In previous work, we presented a learning system where the angle, range, and type of sensors on a hexapod robot, along with the control program, were evolved. Although three sensor stimuli were detectable by the system, it used only two due to the relative importance of these two stimuli in completing the task. In the research presented in this paper, we used the same system, but reduced the availability of a key stimuli; the most effective solution now required the use of all three stimuli. The learning system still performed well by pacing sensors appropriate for the third stimuli and creating a program that utilized these sensors to successfully solve the problem.
ISBN:9781889335384
188933538X
ISSN:2154-4824
2154-4832