Performance evaluation method for environment recognition of mobile robot employing video database

Kim, Hyuna; Jung, Bowon; Choi, Okkyung; Moon, Seungbin

doi:10.1109/robio.2013.6739891

Cited by 2 publications

(1 citation statement)

References 11 publications

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“…With the rapid development of mobile services and the prevalence of mobile robots, we communicate directly with our belongings such as smartphones, laptops, smart pads, and tablets [1][2][3]. Also, we do a lot of business processes such as e-mail, word processing, and printing services using smart devices.…”

Section: Introductionmentioning

confidence: 99%

A Secure NFC-Based Mobile Printing Service Using Recognition Robot

Lee

Yeh

Yang

et al. 2015

International Journal of Distributed Sensor Networks

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With the rapid growth of internet technologies, there have been many recent innovations in printing methods and mobile printing service has become important part of our daily life. In this paper, we design and implement a secure mobile printing service using NFC tag to protect our personal information from the technical vulnerability and physical accident such as a robbery. To protect the personal information, the user has to scan the NFC information at the NFC reader using recognition robot to confirm the authentication. In addition, we propose a secure NFC-based authentication protocol that provides printer authorization method and document access control in accordance with user's authority. Lastly, to prove validity and efficiency of the proposed system, the experimental test was confirmed and provided the results.

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Section: Introductionmentioning

confidence: 99%

A Secure NFC-Based Mobile Printing Service Using Recognition Robot

Lee

Yeh

Yang

et al. 2015

International Journal of Distributed Sensor Networks

Self Cite

View full text Add to dashboard Cite

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Overview and Framework of Quality Service Metrics for Cloud-Based Robotics Platforms

Feng

Zhou

2020

IEEE Access

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With the rapid development of big data, cloud computing and other technologies, Cloud-based robotic has become one of the key research directions for service robot, such as used in hospitals. A framework and set of metrics for evaluating the quality of service (QOS) of a cloud robotic platform would be greatly facilitate research into and actual practice of service robots. In this paper, a QOS metrics framework of cloud robotic computing is summarized and the research of components and metrics of a cloud robotic platform is reviewed. QOS metrics are organized into software, network, and robotic services. By summarizing and analyzing the above three groups of metrics, a QOS framework or index system is proposed. Finally, future research towards open source and standardization of components of robotic cloud platform is discussed. INDEX TERMS Service robot, Cloud robotic platform, Quality of service, Software; Network, Metrics framework I. INTRODUCTION In the fourth industrial revolution, robotic technology has played an important role. In 2010, Professor Kuffner of Carnegie Mellon University proposed the concept of "cloud robot", which combines robotics with cloud computing, and unloads complex computing functions of robot such as data processing, planning, decision-making and cooperation to cloud platform. robots body only needs to be equipped with simple network equipment and basic sensors can complete complex tasks [1-3]. With the in-depth development of Internet technology, service robot can connect to cloud platform to select and invoke algorithm from cloud platform. Cloud robotic platform is not only an interactive platform, but also a cloud service platform for data transmission with robots. So how to evaluate a QOS of cloud robotic platform is a challenging task. At present, many experts and scholars have studied software QoS evaluation, network QoS evaluation and service robot related function QoS evaluation. Through the above three aspects, this paper is committed to establish a QOS metrics framework of cloud robotic platform. Firstly, the QOS of software in cloud platform should be tested; secondly, the QOS of network will also affect interaction ability in cloud platform; in addition, a robot will directly feedback effect of service, and its own QOS will be more intuitive. However, realization of grasping by service robot is limited by amount of data transmission, calculation speed, timeliness, etc., which cannot be carried out through the cloud platform, and is more suitable for its own terminal. Therefore, this paper

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Performance evaluation method for environment recognition of mobile robot employing video database

Cited by 2 publications

References 11 publications

A Secure NFC-Based Mobile Printing Service Using Recognition Robot

A Secure NFC-Based Mobile Printing Service Using Recognition Robot

Overview and Framework of Quality Service Metrics for Cloud-Based Robotics Platforms

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