62 International Conference on Advanced Technologies (ICAT’18)
Antalya, Turkey, 28 April -May 1, 2018 E-ISBN: 978-605-68537-0-8 ANALYSIS OF BIG DATA OBTAINED IN SERVICE ROBOTS
NURSENA BAYGIN1, MEHMET BAYGIN2, MEHMET KARAKOSE3
1 Kafkas University, Turkey; 2 Ardahan University, Turkey; 3 Firat University, Turkey
ABSTRACT
Service robots, which are becoming increasingly applied, are preparing to become indispensable for human life. Recently, big data, deep learning and cloud systems have started to be used in service robot applications. In fact, when the data used by robots were examined, there was always big data in the world of robots. However, recent studies suggest that big data and deep learning will provide great leaps for the robot industry. In recent years, they have concentrated on working on service robots that use self-learning (deep learning) and big data. Humanistic service robots analyze databases using social media such as Google, Facebook, Twitter, and strengthen human robot interaction. In periodic competitions, scientific congresses, or other events, robots produced by artificial intelligence seemed to be forced to exceed a certain learning rate. Deep learning, big data and cloud systems have greatly increased the number of learning rate by offering a different perspective on advancing technology. Deep learning has been switched to a layered learning system, so that the work of artificial intelligence limited by one or several layers of structure has progressed much more rapidly. Service robots using Big data technology have the ability to continuously update their learning situation as they can access a large library. Service robots using the cloud system have contributed to their development by performing statistical analysis of data. With the development of learning systems, the robot increases human interaction and allows robots to be used at every stage of human life. In this study, the analysis of deep learning and big data applications on service robots were performed.
