Fuzzy-Bot: A Food Serving Robot as a Teaching and Learning Platform for Fuzzy Logic

Abstract

Fuzzy Logic has become an emerging control mechanism in robotics as well as in many other streams. Hence fuzzy logic is an often-talked topic in teaching as well as learning. This paper presents a robot platform used to demonstrate applications of fuzzy logic in both teaching and learning aspects. A food serving robot is developed to demonstrate the changes in the actions of the robot based on the inputs from the environment while delivering foods and beverages. Here, the inputs from the environment are the parameters related to the navigation of the robot. Actions of the robot while serving a human user are decided based on a predefined set of fuzzy rules. These rules can be altered as preferred by the user, in order to understand complex fuzzy applications depending on the scenario. An observer would be able to understand how fuzzy rules change the perception of robot about the environment, through this demonstration. An experiment is conducted in a simulated environment in the laboratory to evaluate the behavior of this system and the results of the experiment are presented.