A Model for Environmental Map Production in Robotic Applications Using Fuzzy Logic

Robotics has use as a definition in researches during the past decades and so far high growth has been in different fields. The main reason for the growth of robotics is due to advancements in their hardware. With all the hardware advancements, autonomous mobile robots have become a very important topic. Since the number of applications for autonomous robots is continuing to grow, complex physical components and sensors are used in the design of mobile robots to require a large amount of money. This paper examines how to map the surrounding environment in a building using fuzzy logic and low-cost robots that has designed with two sensors. In this paper, a fuzzy inference system is developed which examines a small local area and continuously assemblies a global map of the environment. We have classified nine probable relative local locations and through a random exploration of the environment a complete global map is created. This map is a graphical representation that can easily be used by a human observer. In the future, we also consider that use a combination of neural network and fuzzy logic to create an Adaptive Neuro-Fuzzy Inference System (ANFIS)