Learning acceptable social behaviour using machine learning techniques

Machines have been socially aware but the efforts to be put into making them socially aware or their behavior to be socially acceptable are tremendous. This is an effort in the same direction to make a machine more socially aware with the help of machine learning techniques using graph data. Graph data is better able to extract the semantics of the environment. This project focuses on the graphical representation of a scenario which helps us to derive the social acceptability score of a robot. Hence, using graph data coupled with the power of machine learning, this project is a step closer to social intelligence embedded in robots.