Learning area coverage for a self-sufficient colony robot

Citation data:

2009 IEEE Congress on Evolutionary Computation, Page: 2083-2090

Publication Year:
2009
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Repository URL:
https://digitalcommons.conncoll.edu/comscifacpub/22
DOI:
10.1109/cec.2009.4983198
Author(s):
Gary B. Parker; Richard Zbeda
Publisher(s):
Institute of Electrical and Electronics Engineers (IEEE)
Tags:
Computer Science; Mathematics; Computer Engineering
conference paper description
It is advantageous for colony robots to be autonomous and self-sufficient. This requires them to perform their duties while maintaining enough energy to operate. Previously, we reported the equipping of power storage for legged robots with high capacitance capacitors, the configuration of one of these robots to effectively use its power storage in a colony recharging system, and the learning of a control program that enabled the robot to navigate to a charging station in simulation. In this work, we report the learning of a control program that allowed the simulated robot to perform area coverage in a self-sufficient framework that made available the best pre-learned navigation behavior module. © 2009 IEEE.