Pratyusha Das, A. Sadhu, Rishi Raj Vyas, A. Konar, D. Bhattacharyya
{"title":"基于Arduino的多机器人操纵杆搬运人工蜂群优化算法","authors":"Pratyusha Das, A. Sadhu, Rishi Raj Vyas, A. Konar, D. Bhattacharyya","doi":"10.1109/C3IT.2015.7060152","DOIUrl":null,"url":null,"abstract":"Cooperation of the multi-robots is an upcoming appealing area of research in the field of robotics. In this paper, two arduino based mobile robots are carrying a stick by cooperation towards their goal avoiding obstacles. The path planning algorithm is designed with the help of Artificial Bee Colony Optimization (ABCO) algorithm which chooses the optimized path by minimizing the distance between the robots and maximizing the distance from the obstacles. The ultrasonic sensors, encoder, 3-axis compass and XBee module are embedded in the robot to detect obstacle in the path of the robots, the distance travelled by the robot, calculate the direction (coordinate) of the robot and to communicate with other robots respectively. We have also designed our algorithm with the help of differential evolutionary (DE) algorithm. Analyzing the performance of ABCO and DE algorithms, it is observed that ABCO outperforms DE in real-robot experiment with respect to distance metric.","PeriodicalId":402311,"journal":{"name":"Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Arduino based multi-robot stick carrying by Artificial Bee Colony optimization algorithm\",\"authors\":\"Pratyusha Das, A. Sadhu, Rishi Raj Vyas, A. Konar, D. Bhattacharyya\",\"doi\":\"10.1109/C3IT.2015.7060152\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Cooperation of the multi-robots is an upcoming appealing area of research in the field of robotics. In this paper, two arduino based mobile robots are carrying a stick by cooperation towards their goal avoiding obstacles. The path planning algorithm is designed with the help of Artificial Bee Colony Optimization (ABCO) algorithm which chooses the optimized path by minimizing the distance between the robots and maximizing the distance from the obstacles. The ultrasonic sensors, encoder, 3-axis compass and XBee module are embedded in the robot to detect obstacle in the path of the robots, the distance travelled by the robot, calculate the direction (coordinate) of the robot and to communicate with other robots respectively. We have also designed our algorithm with the help of differential evolutionary (DE) algorithm. Analyzing the performance of ABCO and DE algorithms, it is observed that ABCO outperforms DE in real-robot experiment with respect to distance metric.\",\"PeriodicalId\":402311,\"journal\":{\"name\":\"Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT)\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/C3IT.2015.7060152\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2015 Third International Conference on Computer, Communication, Control and Information Technology (C3IT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/C3IT.2015.7060152","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Arduino based multi-robot stick carrying by Artificial Bee Colony optimization algorithm
Cooperation of the multi-robots is an upcoming appealing area of research in the field of robotics. In this paper, two arduino based mobile robots are carrying a stick by cooperation towards their goal avoiding obstacles. The path planning algorithm is designed with the help of Artificial Bee Colony Optimization (ABCO) algorithm which chooses the optimized path by minimizing the distance between the robots and maximizing the distance from the obstacles. The ultrasonic sensors, encoder, 3-axis compass and XBee module are embedded in the robot to detect obstacle in the path of the robots, the distance travelled by the robot, calculate the direction (coordinate) of the robot and to communicate with other robots respectively. We have also designed our algorithm with the help of differential evolutionary (DE) algorithm. Analyzing the performance of ABCO and DE algorithms, it is observed that ABCO outperforms DE in real-robot experiment with respect to distance metric.