Abstract
Recently Cloud robotics is a very vibrant research area due to its strategic application potentials. In this paper we have developed a basic cloud based architecture for knowing the localization information of a robot in a dynamic environment. Subsequently, this information could be useful to guide the robot in the desired path as trained by the central cloud. In this paper, Artificial Neural Network (ANN) is used for the training of locations with Radial Basis Function (RBF). The idea is to establish the communication between the cloud and robot over a large environment using the JAVA-RMI interface and identify the location from the images sent by the robot .This paper describes the Cloud As Software As a Service(SAAS).
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© 2012 Springer-Verlag Berlin Heidelberg
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Ansari, F.Q., Pal, J.K., Shukla, J., Nandi, G.C., Chakraborty, P. (2012). A Cloud Based Robot Localization Technique. In: Parashar, M., Kaushik, D., Rana, O.F., Samtaney, R., Yang, Y., Zomaya, A. (eds) Contemporary Computing. IC3 2012. Communications in Computer and Information Science, vol 306. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32129-0_36
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DOI: https://doi.org/10.1007/978-3-642-32129-0_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32128-3
Online ISBN: 978-3-642-32129-0
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