Abstract
The paper starts with explaining in brief about fuzzy logic and then goes on to explain a Fuzzy Logic Controller (FLC). It is the basic unit or a block of any application of fuzzy logic. We mainly focus on how to design a Fuzzy Logic Controller (FLC), its main functions and all the parameters or different factors involved. We then move on to our main objective i.e. implementing fuzzy logic in robots for making it autonomous in terms of navigation. After understanding basics of FLC, we focus on steering and obstacle avoidance of robot by assuming certain conditions regarding the environment, in other words putting restrictions on the behaviors that the robot can display. Some of these restrictions are then lifted and improvements are made to our previous model. We then focus on controlling the speed of the robot as well, considering the environment complexity. So the main objective of this paper is to get clear understanding on how to make a robot navigate autonomously using fuzzy logic controller. The paper then concentrates on why fuzzy logic will be a good approach to do so giving some examples.
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Nandu, S., Nagori, N., Reshamwala, A. (2016). Autonomous Robot Navigation Using Fuzzy Logic. In: Satapathy, S., Das, S. (eds) Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: Volume 2. Smart Innovation, Systems and Technologies, vol 51. Springer, Cham. https://doi.org/10.1007/978-3-319-30927-9_44
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DOI: https://doi.org/10.1007/978-3-319-30927-9_44
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