Co-evolution of sensor morphology and control on a simulated legged robot

被引:0
|
作者
Parker, Gary B. [1 ]
Nathan, Pramod J.
机构
[1] Connecticut Coll, Comp Sci, New London, CT 06320 USA
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中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper discusses utilizing genetic algorithms to automatically design a suitable sensor morphology and controller for a given task in categories of environments. The type of sensors, the heading angle and the range of the sensor, and the rules the controller, are co-evolved. The described method enables the system to decipher information from the environment to determine that is relevant to completing a given task while configuring a minimal controller and number of sensors, thus increasing the overall efficiency of the robot.
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页码:222 / +
页数:2
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