Hybrid robot controller synthesis with GP and UETPN

Kilyen, Attila O.; Leţia, Tiberiu

doi:10.1109/aqtr.2018.8402728

Cited by 2 publications

(1 citation statement)

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“…EC comprises techniques such as evolutionary programming [ 5 , 6 , 7 ], evolutionary strategies [ 8 ], genetic algorithms [ 9 ] and genetic programming (GP) [ 10 , 11 , 12 , 13 , 14 ]. GP has been used extensively on conventional robots programming such us [ 15 , 16 , 17 , 18 , 19 , 20 ].…”

Section: Introductionmentioning

confidence: 99%

A Genetic Programming-Based Low-Level Instructions Robot for Realtimebattle

Romero

Santos

Carballal

et al. 2020

Entropy

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RealTimeBattle is an environment in which robots controlled by programs fight each other. Programs control the simulated robots using low-level messages (e.g., turn radar, accelerate). Unlike other tools like Robocode, each of these robots can be developed using different programming languages. Our purpose is to generate, without human programming or other intervention, a robot that is highly competitive in RealTimeBattle. To that end, we implemented an Evolutionary Computation technique: Genetic Programming. The robot controllers created in the course of the experiments exhibit several different and effective combat strategies such as avoidance, sniping, encircling and shooting. To further improve their performance, we propose a function-set that includes short-term memory mechanisms, which allowed us to evolve a robot that is superior to all of the rivals used for its training. The robot was also tested in a bout with the winner of the previous “RealTimeBattle Championship”, which it won. Finally, our robot was tested in a multi-robot battle arena, with five simultaneous opponents, and obtained the best results among the contenders.

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