The role of QR code robots in smart logistics is great. Cognitive robots, such as logistics robots, were mostly used to adjust routes and search for peripheral sensors, cameras, and recognition signs attached to walls. However, recently, the ease of making QR codes and the convenience of producing and attaching a lot of information within QR codes have been raised, and many of these reasons have made QR codes recognizable as visions and others. In addition, there have been cases in developed countries and Korea that control several of these robots at the same time and operate logistics factories smartly. This representative case is the KIVA robot in Amazon. KIVA robots are only operated inside Amazon, but information about them is not exposed to the outside world, so a variety of similar robots are developed and operated in several places around the world. They are applied in various fields such as education, medical, silver, military, parking, construction, marine, and agriculture, creating a variety of application robots. In this work, we are developing a robot that can recognize its current position, move and control in the directed direction through two-dimensional QR codes with the same horizontal and vertical sides, and the error is to create a QR code robot with accuracy to reach within 3mm. This paper focuses on the moving control model during the development of QR code-aware indoor mobility robots.
목차
ABSTRACT 1. 서론 2. 연구의 필요성 3. QR 코드 인식 실내 이동로봇 3.1 QR코드 인식 실내 이동로봇의 국내 기술 수준 및 동향 3.2 QR코드 인식하여 위치 인식 실내 이동로봇의 요구사항 4. QR코드 인식 실내 이동로봇의 주행 제어 모델 제안 5. 결론 References
키워드
바코드 로봇물류키바정확도센서바코드 인식 실내 이동QR code robotLogisticsKIVAAccuracySensorQR code- aware indoor mobility
저자
이정익 [ Jeong-Ick Lee | INHA Technical College, Dept. of Mechanical Design ]
Corresponding Author