Route Following Control For Automatic Guided Vehicle Based on

• Main Authors: Rui-Wei Zhou, 周芮葳
• Other Authors: 姚立德
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/x8j86c

碩士 === 國立臺北科技大學 === 自動化科技研究所 === 103 === In recent years, more and more cameras combined with intelligent robots to complete visual recognition, visual navigation and positioning, and thus avoid the obstacle of the application. Therefore, this paper will use Microsoft developed the somatosensory camera &;quot;Kinect&;quot;, which was loaded on a wheeled robot, using Oriented FAST and Rotated BRIEF(ORB) algorithms for image processing, combined with Kinect&;#39;s infrared sensors to obtain depth information and visual environment RGB image get real-time location information robot, controlled by fuzzy theory wheeled self-propelled vehicle speed and direction of, and follow the learning process of learning paths to the successful completion of route guidance. Finally, the paper will be in an actual path planning environment, to achieve self-propelled vehicle to follow the path system to the actual experimental results verify the system architecture.