Robolution: Real Time Predictive Analytics for Industrial Robots
Sajal Suhane1, Pramod D. Patil2, Ravi Mishra3, Simran Koul4, Ridima Shukla5, Jyoti Rao6
1Sajal Suhane*, Department of Computer Engineering, Dr. D.Y. Patil Institute of Technology, Pimpri, Pune, India.
2Dr. Pramod D. Patil, Department of Computer Engineering, Dr. D.Y. Patil Institute of Technology, Pimpri, Pune, India.
3Ravi Mishra, Department of Computer Engineering, Dr. D.Y. Patil Institute of Technology, Pimpri, Pune, India.
4Simran Koul, Department of Computer Engineering, Dr. D.Y. Patil Institute of Technology, Pimpri, Pune, India.
5Ridima Shukla, Department of Computer Engineering, Dr. D.Y. Patil Institute of Technology, Pimpri, Pune, India.
6Dr. Jyoti Rao, Department of Computer Engineering, Dr. D.Y. Patil Institute of Technology, Pimpri, Pune, India.
Manuscript received on February 01, 2020. | Revised Manuscript received on February 05, 2020. | Manuscript published on February 30, 2020. | PP: 923-926 | Volume-9 Issue-3, February, 2020. | Retrieval Number: C5342029320/2020©BEIESP | DOI: 10.35940/ijeat.C5342.029320
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Robots have been playing a very important role in our day-to-day lives and will be a necessity in the coming future. Whenever we hear automation, the first thing that strikes our mind is a robot performing the given task. But if a robot fails to do the task, it could cost an individual or corporate a huge financial loss. In this study, we have learned the working of various robots and drawbacks that hold them back. For this work, we did make a study of drives used in the robot and after that applied the machine learning algorithms to predict the classification of whether the robot will function properly or not, based on the data of drive(s).
Keywords: Machine Learning, Data Science, Robotics