Method for the automated design of decentralized controllers for modular self-reconfigurable robots

摘要

A method and computer-readable medium is provided for designing control software for a module in a self-reconfigurable robot. A genetic method randomly selects a plurality of module software functions for creating a plurality of module control software programs. The plurality of control software programs are then evaluated against a series of tasks and respective fitness functions. The module control software is selected based on the software program having the highest fitness function value for a particular task.