In the modern technological world, where top technology within affordable cost is the order of the day and robots or silico-sapiens are need of the hour, a robot with cameras and transmitter is not cost effective. So, we have tried to device an algorithm which will eliminate the need of costly devices and help us in navigating the robot. For solving the problem, we have used Fuzzy Route Planning Technique. The main input to the algorithm will be the picture of the space in which the robot will traverse. According to the input, the algorithm will find out the optimized or the shortest path between initial place to goal place and the cost that will be incurred in traversing this path.

1. Topological Modeling with Fuzzy Petri Nets for Autonomous Mobile Robots, by Javier de Lope, Dario Maravall, and Jose G. Zato.
2. Action Selection and Learning in Multi-Agent Systems, by Gerhard Weib.
3. Some Studies in Distributed Machine Learning and Organizational Design, by Gerhard Weib.
4. Partial Order Planning, by Jane Hsu.
5. Planning, Execution and Learning, by Reid Simmons.
6. Partial order Planning, by Alban Grastien.

Fuzzy route planning technique Goal place Initial place Path Robot