Variants of guided self-organization for robot control

被引:15
|
作者
Martius, Georg [1 ,2 ]
Herrmann, J. Michael [3 ]
机构
[1] Bernstein Ctr Computat Neurosci, D-37073 Gottingen, Germany
[2] Max Planck Inst Dynam & Self Org, D-37073 Gottingen, Germany
[3] Univ Edinburgh, Sch Informat, Inst Percept Act & Behav, Edinburgh EH8 9AB, Midlothian, Scotland
关键词
Guided self-organization; Autonomous robots; Homeokinesis; Machine learning; DYNAMICAL-SYSTEMS; MORPHOLOGY;
D O I
10.1007/s12064-011-0141-0
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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.
引用
收藏
页码:129 / 137
页数:9
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