Variants of guided self-organization for robot control
Autonomous robots can generate exploratory behavior by self-organization of the sensorimotor loop. We show that the behavioral manifold that is covered in this way can be modified in a goal-dependent way without reducing the self-induced activity of the robot. We present three strategies for guided...
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| Veröffentlicht in: | Theory in biosciences = Theorie in den Biowissenschaften 2012-09, Vol.131 (3), p.129-137 |
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| container_title | Theory in biosciences = Theorie in den Biowissenschaften |
| container_volume | 131 |
| creator | Martius, Georg Herrmann, J. Michael |
| description | Autonomous robots can generate exploratory behavior by self-organization of the sensorimotor loop. We show that the behavioral manifold that is covered in this way can be modified in a goal-dependent way without reducing the self-induced activity of the robot. We present three strategies for guided self-organization, namely by using external rewards, a problem-specific error function, or assumptions about the symmetries of the desired behavior. The strategies are analyzed for two different robots in a physically realistic simulation. |
| doi_str_mv | 10.1007/s12064-011-0141-0 |
| format | Article |
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| ispartof | Theory in biosciences = Theorie in den Biowissenschaften, 2012-09, Vol.131 (3), p.129-137 |
| issn | 1431-7613 1611-7530 |
| language | eng |
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| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Behavior Bioinformatics Biology Biomedical and Life Sciences Complex Systems Evolutionary Biology Exploratory behavior Learning Life Sciences Mathematical and Computational Biology Neural Networks (Computer) Original Paper Philosophy of Biology Robotics - methods Robotics - organization & administration Robots Sensorimotor system Teaching Theoretical Ecology/Statistics |
| title | Variants of guided self-organization for robot control |
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