Innately adaptive robotics through embodied evolution

被引:0
|
作者
Siavash Haroun Mahdavi
Peter J. Bentley
机构
[1] University College London,Department of Computer Science
来源
Autonomous Robots | 2006年 / 20卷
关键词
Genetic Algorithm; Evolutionary Algorithm; Shape Memory Alloy; Finite State Machine; Robot Control;
D O I
暂无
中图分类号
学科分类号
摘要
Autonomous adaptation in robots has become recognised as crucial for devices deployed in remote or inhospitable environments. The aim of this work is to investigate autonomous robot adaptation, focussing on damage recovery and adaptation to unknown environments. An embodied evolutionary algorithm is introduced and its capabilities demonstrated with experimental results. This algorithm is shown to be able to control the motion of a robot snake effectively; this same algorithm inherently recovers the snake’s motion after damage. Another experiment shows that the algorithm is capable of contorting a shape-changing antenna in such a way as to minimise the affect of background noise on it, thus allowing the antenna to achieve a better signal.
引用
收藏
页码:149 / 163
页数:14
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