Open AccessRobolution: Real Time Predictive Analytics for Industrial Robots
Author(s) -
Sajal Suhane,
Pramod Patil,
Ravi Shankar Mishra,
Simran Koul,
Rajni Shukla,
Jyoti Rao
Publication year - 2020
Publication title -
international journal of engineering and advanced technology
Language(s) - English
Resource type - Journals
ISSN - 2249-8958
DOI - 10.35940/ijeat.c5342.029320
Subject(s) - robot , task (project management) , automation , computer science , artificial intelligence , function (biology) , analytics , work (physics) , predictive analytics , human–computer interaction , machine learning , engineering , data science , systems engineering , mechanical engineering , evolutionary biology , biology
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).