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2016 | OriginalPaper | Chapter

Autonomous Robot Navigation Using Fuzzy Logic

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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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Literature
1.
go back to reference Shukla, S., Tiwari, M.: Fuzzy Logic of Speed and Steering Control System for Three Dimensional Line Following of an Autonomous Vehicle. ArXiv preprint arXiv:1004.1675 (2010) Shukla, S., Tiwari, M.: Fuzzy Logic of Speed and Steering Control System for Three Dimensional Line Following of an Autonomous Vehicle. ArXiv preprint arXiv:​1004.​1675 (2010)
2.
go back to reference Lee, C.C.: Fuzzy logic in control systems: fuzzy logic controller. IEEE Trans. Syst., Man Cybern. 20(2), 419–435 (1990) Lee, C.C.: Fuzzy logic in control systems: fuzzy logic controller. IEEE Trans. Syst., Man Cybern. 20(2), 419–435 (1990)
3.
go back to reference Cao, M., Hall, E.L.: Fuzzy logic control for an automated guided vehicle. In: Photonics East (ISAM, VVDC, IEMB), International Society for Optics and Photonics, pp. 303–312 (1998) Cao, M., Hall, E.L.: Fuzzy logic control for an automated guided vehicle. In: Photonics East (ISAM, VVDC, IEMB), International Society for Optics and Photonics, pp. 303–312 (1998)
4.
go back to reference Tanaka, K.: Design of model-based fuzzy controller using lyapunovs stability approach and its application to trajectory stabilization of a model car. In: Theoretical Aspects of Fuzzy Control, San Francisco, CA, 2nd IEEE Conference on fuzzy system, pp. 31–50 (1995) Tanaka, K.: Design of model-based fuzzy controller using lyapunovs stability approach and its application to trajectory stabilization of a model car. In: Theoretical Aspects of Fuzzy Control, San Francisco, CA, 2nd IEEE Conference on fuzzy system, pp. 31–50 (1995)
5.
go back to reference Von Altrock, C., Krause, B., Zimmermann, H.J.: Advanced fuzzy logic control technologies in automotive applications. In: IEEE International Conference on Fuzzy Systems, IEEE, pp. 835–842 (1992) Von Altrock, C., Krause, B., Zimmermann, H.J.: Advanced fuzzy logic control technologies in automotive applications. In: IEEE International Conference on Fuzzy Systems, IEEE, pp. 835–842 (1992)
Metadata
Title
Autonomous Robot Navigation Using Fuzzy Logic
Authors
Sagar Nandu
Nikhil Nagori
Alpa Reshamwala
Copyright Year
2016
DOI
https://doi.org/10.1007/978-3-319-30927-9_44

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