R. Lumia, Chandra Sekhar Gatla, John E. Wood, G. Starr
{"title":"Laser tagging: An approach for rapid robot trajectory definition","authors":"R. Lumia, Chandra Sekhar Gatla, John E. Wood, G. Starr","doi":"10.1109/ICIT.2010.5472743","DOIUrl":null,"url":null,"abstract":"This paper describes directed laser tagging as an approach to define robot trajectories for low volume applications. The method employs a free-standing laser that is used to define a goal point, a 3D point on an object of interest. Biclops, a directed stereo vision system, uses triangulation to compute the coordinates of the 3D point. A trajectory is defined by collecting a sequence of quasi-static points designated by the free-standing laser. This trajectory can be executed by the robot in 3D space either on the fly or stored for subsequent execution. While a single robot is needed to capture the laser-tagged points, we use a second robot to verify that the 3D point was computed correctly. The first robot carries Biclops and computes the coordinates of the points designated by the free-standing laser. The second robot, which carries a laser, receives the 3D point information from the first robot. Then, the second robot aims at the free-standing laser point. Ideally, the two laser points will overlap. Directed laser-tagging is a rapid way to obtain 3D points compared to other traditional methods including teach-pendants and off-line programming. Experiments show that the error between the laser designated points and the vision acquired points is typically less than 3 mm.","PeriodicalId":256385,"journal":{"name":"2010 IEEE International Conference on Industrial Technology","volume":"3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE International Conference on Industrial Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICIT.2010.5472743","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
This paper describes directed laser tagging as an approach to define robot trajectories for low volume applications. The method employs a free-standing laser that is used to define a goal point, a 3D point on an object of interest. Biclops, a directed stereo vision system, uses triangulation to compute the coordinates of the 3D point. A trajectory is defined by collecting a sequence of quasi-static points designated by the free-standing laser. This trajectory can be executed by the robot in 3D space either on the fly or stored for subsequent execution. While a single robot is needed to capture the laser-tagged points, we use a second robot to verify that the 3D point was computed correctly. The first robot carries Biclops and computes the coordinates of the points designated by the free-standing laser. The second robot, which carries a laser, receives the 3D point information from the first robot. Then, the second robot aims at the free-standing laser point. Ideally, the two laser points will overlap. Directed laser-tagging is a rapid way to obtain 3D points compared to other traditional methods including teach-pendants and off-line programming. Experiments show that the error between the laser designated points and the vision acquired points is typically less than 3 mm.