Abstract
Paper deals with Cloud-based Robotics approach which seems to be very supported by new technologies in the area of Cloud computing. In this paper, we will present and early implementation of a system for cloud-based object recognition. The primary use of the system is to provide an object recognition as a service for a wide range of devices. The main benefit of using the cloud as a platform are easy scalability in the future and mainly the sharing of already collected knowledge between all devices using this system. The system consist of feature extraction part and the classification part. For feature extraction, SIFT and SURF are used, and for the classification, the MF ArtMap has been used. In this paper, the implementation of both parts will be presented in more detail, as well as preliminary results. We do assume that Cloud Robotics and Brain research for Robots will emerge into a functional system able to share and utilize common knowledge and also personalization in close future.
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Lorencik, D., Ondo, J., Sincak, P., Wagatsuma, H. (2015). Cloud-Based Image Recognition for Robots. In: Kim, JH., Yang, W., Jo, J., Sincak, P., Myung, H. (eds) Robot Intelligence Technology and Applications 3. Advances in Intelligent Systems and Computing, vol 345. Springer, Cham. https://doi.org/10.1007/978-3-319-16841-8_71
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DOI: https://doi.org/10.1007/978-3-319-16841-8_71
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16840-1
Online ISBN: 978-3-319-16841-8
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