Control Program Design of Autonomous Vehicle Robot Using Grammatical Evolution

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@InProceedings{Yamada:2021:ICRAE,

• author = "Syuya Yamada and Ryoma Sato and Tatsuhiro Tamaki and Eisuke Kita",
• booktitle = "2021 6th International Conference on Robotics and Automation Engineering (ICRAE)",
• title = "Control Program Design of Autonomous Vehicle Robot Using Grammatical Evolution",
• year = "2021",
• pages = "308--312",
• abstract = "The automatic design of the control program of the vehicle robot is presented in this study. LEGO MINDSTORM EV3 and RVW Level Builder are used for this study. The control program of EV3 is designed automatically by using Grammatical Evolution (GE), which is one of the evolutionary algorithms. The generated program is applied for controlling EV3. The results show that the robot behaviour in the experiment of EV3 was roughly equivalent to it in simulator. Therefore, the proposed algorithm based on GE can generate the control program of robot automatically.",
• keywords = "genetic algorithms, genetic programming, Grammatical Evolution, Automation, Robot control, Evolutionary computation, Germanium, Robots, Autonomous vehicles, Convergence, Vehicle Robot, LEGO MINDSTORM EV3",
• DOI = "doi:10.1109/ICRAE53653.2021.9657773",
• month = nov,
• notes = "Also known as \cite{9657773}",

}

Genetic Programming entries for Syuya Yamada Ryoma Sato Tatsuhiro Tamaki Eisuke Kita

Citations