Antonio Zalapa-Elias, A. Rodríguez-Liñán, L. Torres-Treviño
{"title":"Evolutionary Robot with the Task to Remain Standing","authors":"Antonio Zalapa-Elias, A. Rodríguez-Liñán, L. Torres-Treviño","doi":"10.1109/MICAI.2015.31","DOIUrl":null,"url":null,"abstract":"This article an evolutionary robot is implemented with the aim to stand upright and level as possible. Evolutionary Robots are characterised by performing automated tasks trying to reach an objective function, which is the key to good performance. The evolution of the system is made possible by a genetic algorithm, which based on natural biological evolution process, achieved through several generations a possible solution. The evolutionary robot was physically implemented with sensors and actuators, also the genetic algorithm was embedded in a microcontroller.","PeriodicalId":448255,"journal":{"name":"2015 Fourteenth Mexican International Conference on Artificial Intelligence (MICAI)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Fourteenth Mexican International Conference on Artificial Intelligence (MICAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MICAI.2015.31","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This article an evolutionary robot is implemented with the aim to stand upright and level as possible. Evolutionary Robots are characterised by performing automated tasks trying to reach an objective function, which is the key to good performance. The evolution of the system is made possible by a genetic algorithm, which based on natural biological evolution process, achieved through several generations a possible solution. The evolutionary robot was physically implemented with sensors and actuators, also the genetic algorithm was embedded in a microcontroller.