{"title":"进化的Kilobot机器人的个体和集体行为","authors":"M. Beckerleg, Chan Zhang","doi":"10.1109/AMC.2016.7496361","DOIUrl":null,"url":null,"abstract":"This paper demonstrates how individual and collective behaviours of robots can be evolved using a novel technique of applying a genetic algorithm on a lookup table based chromosome. The evolved behaviours are: orbiting a stationary robot; navigation between three robots; follow the leader using six robots; and robot dispersal where the robots move away from each other. These behaviours are based on those used by Harvard University when demonstrating some of the collective behaviours that can be implemented by the Kilobot robot. With careful selection of the lookup tables and fitness functions all the above behaviours can be successfully evolved.","PeriodicalId":273847,"journal":{"name":"2016 IEEE 14th International Workshop on Advanced Motion Control (AMC)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Evolving individual and collective behaviours for the Kilobot robot\",\"authors\":\"M. Beckerleg, Chan Zhang\",\"doi\":\"10.1109/AMC.2016.7496361\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper demonstrates how individual and collective behaviours of robots can be evolved using a novel technique of applying a genetic algorithm on a lookup table based chromosome. The evolved behaviours are: orbiting a stationary robot; navigation between three robots; follow the leader using six robots; and robot dispersal where the robots move away from each other. These behaviours are based on those used by Harvard University when demonstrating some of the collective behaviours that can be implemented by the Kilobot robot. With careful selection of the lookup tables and fitness functions all the above behaviours can be successfully evolved.\",\"PeriodicalId\":273847,\"journal\":{\"name\":\"2016 IEEE 14th International Workshop on Advanced Motion Control (AMC)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-04-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE 14th International Workshop on Advanced Motion Control (AMC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/AMC.2016.7496361\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 14th International Workshop on Advanced Motion Control (AMC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AMC.2016.7496361","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Evolving individual and collective behaviours for the Kilobot robot
This paper demonstrates how individual and collective behaviours of robots can be evolved using a novel technique of applying a genetic algorithm on a lookup table based chromosome. The evolved behaviours are: orbiting a stationary robot; navigation between three robots; follow the leader using six robots; and robot dispersal where the robots move away from each other. These behaviours are based on those used by Harvard University when demonstrating some of the collective behaviours that can be implemented by the Kilobot robot. With careful selection of the lookup tables and fitness functions all the above behaviours can be successfully evolved.
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