{"title":"以计算机视觉作为MEMS输入控制六自由度拟人机器人结构","authors":"Alexandru Pop, O. Stan","doi":"10.1109/CSCS.2019.00125","DOIUrl":null,"url":null,"abstract":"The presented paper presents a method to control a 6-degree-of-freedom robot manipulator using computer vision as micro-electro-mechanical systems input. Using this technology, we manage to extract 3D information regarding human hand position and orientation and pass it to the robot. The main advantages are: providing a natural and easy to use interaction manner, fast setup and a simplified usage learning curve for the user.","PeriodicalId":352411,"journal":{"name":"2019 22nd International Conference on Control Systems and Computer Science (CSCS)","volume":"502 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Control a 6DOF Anthropomorphic Robotic Structure with Computer Vision as MEMS Input\",\"authors\":\"Alexandru Pop, O. Stan\",\"doi\":\"10.1109/CSCS.2019.00125\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The presented paper presents a method to control a 6-degree-of-freedom robot manipulator using computer vision as micro-electro-mechanical systems input. Using this technology, we manage to extract 3D information regarding human hand position and orientation and pass it to the robot. The main advantages are: providing a natural and easy to use interaction manner, fast setup and a simplified usage learning curve for the user.\",\"PeriodicalId\":352411,\"journal\":{\"name\":\"2019 22nd International Conference on Control Systems and Computer Science (CSCS)\",\"volume\":\"502 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 22nd International Conference on Control Systems and Computer Science (CSCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSCS.2019.00125\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 22nd International Conference on Control Systems and Computer Science (CSCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCS.2019.00125","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Control a 6DOF Anthropomorphic Robotic Structure with Computer Vision as MEMS Input
The presented paper presents a method to control a 6-degree-of-freedom robot manipulator using computer vision as micro-electro-mechanical systems input. Using this technology, we manage to extract 3D information regarding human hand position and orientation and pass it to the robot. The main advantages are: providing a natural and easy to use interaction manner, fast setup and a simplified usage learning curve for the user.