GP-Sumo: Using genetic programming to evolve
sumobots
Genetic Programming and Evolvable Machines, 7 (3):
211--230 (October 2006)DOI: doi:10.1007/s10710-006-9006-6
Abstract
We describe the evolution via genetic programming of
control systems for real-world, sumo-fighting robots
sumobots, in adherence with the Robothon rules: Two
robots face each other within a circular arena, the
objective of each being to push the other outside the
arena boundaries. Our robots are minimally equipped
with sensors and actuators, the intent being to seek
out good fighters with this restricted platform, in a
limited amount of time. We describe four sets of
experiments of gradually increasing difficulty which
also test a number of evolutionary methods:
single-population vs. coevolution, static fitness vs.
dynamic fitness, and real vs. dummy opponents.
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