Automatic Factory Intelligent Logistics Robot

• Main Authors: HUNG, CHUN-CHI, 洪俊棨
• Other Authors: LEE, JENG-DAO
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/9443hc

碩士 === 國立虎尾科技大學 === 自動化工程系碩士班 === 107 === Automation factory has been trending in recent years, delivering the objects between workstations becomes more significant in the area. Automatic Guided Vehicle (AGV) is used to be the base of the movement robot. It becomes the part of IoT because of the bridge of the workstation delivering. It could not only optimizing the human resource, but also enhancing the workload and efficiency. In this dissertation, the delivering and the environment adaptability is the aim to design and establish a delivering robot. The robot uses Single Board Computer (SBC) to be the major controller and integrate the AOI system, position detecting, robotic arm control and omnidirectional movement. In delivering the materials, it uses the Ultra-Wide Band (UWB) triangulation method and the compass direction guiding that let it can build relation between the robot and the environment to move to the aim position. Then it detects the workstation and analyzes the workstation position by the webcam. That makes it move to the workstation closely. Finally, it controls the robot arm to store and place the materials by grabbing. According to four functions, the robot can deliver the materials in production line.