{"title":"基于PyBullet模块的方法来控制协作的YuMi机器人","authors":"Roman Michalík, A. Janota","doi":"10.1109/ELEKTRO49696.2020.9130233","DOIUrl":null,"url":null,"abstract":"Collaborative robots who are able to share workspace with humans, have opened a new dimension of automation across multiple industries. The paper deals with the problem of selecting appropriate software for simulating robot control, creating a model for these simulations and implementing them. The authors briefly analyze and discuss the problem, its potential solutions and present applied approach in the form of the Python program by using the PyBullet module.","PeriodicalId":165069,"journal":{"name":"2020 ELEKTRO","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"The PyBullet module-based approach to control the collaborative YuMi robot\",\"authors\":\"Roman Michalík, A. Janota\",\"doi\":\"10.1109/ELEKTRO49696.2020.9130233\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Collaborative robots who are able to share workspace with humans, have opened a new dimension of automation across multiple industries. The paper deals with the problem of selecting appropriate software for simulating robot control, creating a model for these simulations and implementing them. The authors briefly analyze and discuss the problem, its potential solutions and present applied approach in the form of the Python program by using the PyBullet module.\",\"PeriodicalId\":165069,\"journal\":{\"name\":\"2020 ELEKTRO\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 ELEKTRO\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELEKTRO49696.2020.9130233\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 ELEKTRO","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELEKTRO49696.2020.9130233","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The PyBullet module-based approach to control the collaborative YuMi robot
Collaborative robots who are able to share workspace with humans, have opened a new dimension of automation across multiple industries. The paper deals with the problem of selecting appropriate software for simulating robot control, creating a model for these simulations and implementing them. The authors briefly analyze and discuss the problem, its potential solutions and present applied approach in the form of the Python program by using the PyBullet module.
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