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Acquisition and analysis of robotic data using machine learning techniques

Publication Type : Book Chapter

Publisher : Computational Intelligence in Data Mining-Volume 3

Source : Computational Intelligence in Data Mining-Volume 3, Springer India, p.489–498 (2015)

Url : http://link.springer.com/chapter/10.1007/978-81-322-2202-6_44#page-2

Campus : Bengaluru

School : Department of Computer Science and Engineering, School of Engineering

Department : Computer Science

Year : 2015

Abstract : A robotic system has to understand its environment in order to perform the tasks assigned to it successfully. In such a case, a system capable of learning and decision making is necessary. In order to achieve this capability, a system must be able to observe its environment with the help of real time data received from its sensors. This paper discusses certain experiments to highlight methods and attributes that can be used for such a learning. These experiments consider attributes recorded in different virtual environments with the

Cite this Research Publication : S. Mishra, Radhakrishnan, G., Dr. Deepa Gupta, and Sudarshan, T. S. B., “Acquisition and analysis of robotic data using machine learning techniques”, in Computational Intelligence in Data Mining-Volume 3, Springer India, 2015, pp. 489–498.

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