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 indoor mobile robot position recognition and driving experiment using QR Code during the development of QR Code-aware indoor mobility robots.

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 driving control of indoor mobile robot during the development of QR Code-aware indoor mobility robots.

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. 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 experimental environments for testbeds during the development of QR Code-aware indoor mobility robots.

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 a study on the driving directions of QR Code-aware movable robots during the development of QR Code-aware indoor mobility robots.

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 a study on the application of QR Code position recognition during the development of QR Code-aware indoor mobility robots.

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 a study on the application of QR Code recognition system during the development of QR Code-aware indoor mobility robots.

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 a study on the speculative navigation using auxiliary encoder during the development of QR Code-aware indoor mobility robots.

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 QR Code recognition mobile robotics study during the development of QR Code-aware indoor mobility robots.

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 a study on the position recognition control using QR Code during the development of QR Code-aware indoor mobility robots.

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 a suggestion of control method in QR Code-aware indoor mobility robots.

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 driving operation techniques during the development of QR code-aware indoor mobility robots.

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.

본 연구는 패션제품에 QR코드를 부착하여 소재와 세탁 등의 전문적 정보의 제공뿐 아니라 기업과 소비자, 소비자와 소비자를 연결하는 기능을 부여할 수 있도록 하기 위한 기초연구로 QR코드 적용 시 요구되는 정보에 대한 소비자의 인식과 선호를 조사하였다. 타 연령대보다 스마트폰 보급률이 높고 1인 가구의 비율이 높아 비대면 정보교환의 필요성이 높을 것으로 생각되는 20대를 대상으로 설문하였다. 현행 라벨을 통한 의류제품의 정보제공 방법에 대해서 개선의 필요성이 확인되었으며 특히 불충분한 정보제공, 전문적인 용어 사용, 세탁 기호의 불확실함이 불만족의 요인이었다. 따라서 다양한 방식으로 많은 정보를 전달할 수 있는 QR코드는 패션제품의 관리 정보제공의 효율적인 대안이 될 수 있을 것이다. 또한 응답자들은 아웃도어, 패딩, 정장 등의 고관여 의류 상품과 신체에 닿는 언더웨어류에 대해서 자세한 세탁방법, 사용 및 보관 시 유의사항, 소재의 기능성에 대한 정보를 얻고 싶어 했으며 캐주얼웨어, 코트에 대해서는 제품을 활용한 SNS 데일리룩, 제품과 어울리는 다른 상품, 비슷한 아이템의 추천 등 스타일링이나 의복 구매 정보를 제공받고 싶어했다. 따라서 QR코드를 이와 같은 다양한 정보 제공을 위한 웹사이트 또는 SNS의 연결수단 으로 사용한다면 소비자들의 정보추구 욕구의 충족과 함께 현명한 제품 사용을 도울 수 있을 것이며 초 연결시대 패션제품의 새로운 역할을 부여하는 대안이 될 수 있을 것이다.

Recognize the QR code and develops the position and orientation of the robot can recognize the robot. It is expected to become the innovative technology of robotic navigation systems and logistics systems. The existing vision of the position recognition method(Vision) or artificial surface(Artificial Landmark)based positioning of pushing the location recognition promoted to use a commercially available wireless signal. When commercially available through these technology are expected to be able to make the logistics robot capable of precise position recognition excellent in cost and performance. In the case of the Amazon by Kiva Systems of automation and robotics technology and logistics system in the same way that suggests supplied to the consumer in the short term it innovates in the current logistics. This same technology is location-aware robot control system of the Amazon and is expected to be an innovative logistics system to transfer after development is complete.

Management of maintenance parts in the aircraft have difficulty because of high cost of part, necessity of separate managements, and very many kinds of parts. The serial number of parts was used in maintenance process and then the results was depended on worker's ability. Also the workers used printed work order and manual at every time in maintenance processes. In this study, we analyzed the maintenance process and the information that occurs in the material warehouse and hangar for large airline company to solve the problems about inventory and visualization. Based on above analysis we developed the maintenance process with integrated by information technologies such as QR code and tablet PC. We expect the reduced errors resulting from visually checking and decreased work hours and maintenance cost and will finally develop the smart work.

ESP, English for specific purposes, is an approach to language teaching that has been found to be effective for students who are strongly motivated in their social lives or towards their future goals. With this in mind, the purpose of this study was to investigate whether or not the use of QR code in cellular phones can be effective in teaching a course for ESP such as Medical Tourism English. For the study, twenty six students participated in a questionnaire survey and an interview. Moreover, four independent tests in total, two tests before using QR codes in class and two tests after using QR codes were taken interchangeably based on a time serial analysis. As a result, positive effects were observed in both test results, questionnaire survey, and interview; and the mean scores of those tests after the QR code activities were higher than in those without the activities. In addition, the questionnaire survey and interview data supported the findings; especially, the QR code activity, which helped to decipher the meaning of the technical medical terms and of the process, which students have not experienced so they were not familiar with. In summary, these findings indicate that QR code activities have positive pedagogical implications for ESP education.

본 연구의 목적은 스마트 기기를 활용한 교수-학습 설계와 학습방법에 대한 새로운 접근 및 방향을 제안하는데 있으며, 첨단 매체를 활용하여 학습자 참여를 촉진하는 게임형태의 주제중심 통합학습 교수설계의 사례를 제시하였다. QR코드를 활용한 주제중심 통합학습의 사례인 퀘스트 기반학습은 학습동기, 경험학습, 사회적 상호작용을 촉진하는 역할을 한다. QR코드를 활용한 설계는 자신의 인지구조를 확장하는데 요구되는 사회적 상호작용 전략, 동기증진 전략, 구성 주의에서 강조하는 복잡한 문제 상황과 스캐폴딩 전략이 포함된 학습자 중심 학습 환경을 지원하였다. 스마트 기기를 이용한 게임형 퀘스트 기반학습을 통해 학습에 대한 흥미 증진, 학습자 중심의 참여 학습, 활동중심, 협력학습, 사회적 상호작용을 통한 지식의 창출 측면에 대한 교수 설계에 창의적인 학습 환경을 제공하는 기회를 확인하였다.

본 연구는 스마트폰으로 인식이 가능한 QR코드를 이용한 퀘스트 기반학습을 적용하여 교육 현장에서 학습방법으로서 가능성을 확인하는데 있다. 퀘스트 기반학습의 적용은 초등학교 3학년 32명을 대상으로 1개월간 총 8차시에 걸쳐 적용되었다. 학습활동 후 학습동기의 네 가지 하위요인에 대한 다변량분석을 하였다. 연구결과, 퀘스트 기반학습은 동기하위요인 중 주의집중과 자신감 요인의 동기를 촉진하는 긍정적인 결과를 보였다. 게임형태의 퀘스트 기반학습은 다양한 미디어를 활용한 학습방법으로 교육현장에서 학습자 참여를 촉진하고, 활동중심의 경험학습을 위한 학습방법으로 활용될 수 있을 것이다.