Research and Design for Industrial Robot Tracking System

• Main Authors: GUAM-YU,HU, 呼冠宇
• Other Authors: CHAO-PENG,WEI
• Format: Others
• Language: zh-TW
• Published: 2014
• Online Access: http://ndltd.ncl.edu.tw/handle/94976735521225510297

碩士 === 臺北城市科技大學 === 機電整合研究所 === 102 === The main aim in this thesis is to develop an industrial robot tracking control technology by integrating industrial robot, KEYENCE vision system, conveyor, encoder and Arduino interface etc. The industrial robots applied in this thesis include STÄUBLI and ABB. Filter, contrast ratio conversion and image splitting play very important roles in vision system. Therefore, various previous processing algorithms, customized filter, contrast ratio conversion and real time area splitting are included in KEYENCE vision system to achieve the goals of faster installation and easier operation. This thesis shows examples of applications in industrial robot vision system for training beginning learners in industrial robot field in an efficient way. In addition, an innovative tracking system is presented for painting industrial robot system. This tracking system is combined with an encoder for measuring the speed of the conveyor; therefore the position of workpieces and the acceleration of robot can be calculated to provide more accurate position information for industrial robot tracking system.