Obstacle avoidance fuzzy system for mobile robot with IR sensors

Oscobionic Sebastian Fabian; Mihaela Hnatiuc

doi:10.1117/12.2643502

2 March 2023 Obstacle avoidance fuzzy system for mobile robot with IR sensors

Oscobionic Sebastian Fabian, Mihaela Hnatiuc

Proceedings Volume 12493, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies XI; 1249312 (2023) https://doi.org/10.1117/12.2643502
Event: Advanced Topics in Optoelectronics, Microelectronics and Nanotechnologies 2022, 2022, Constanta, Romania

Abstract

In this paper, we propose an obstacle avoidance system that uses a fuzzy logic control algorithm, for mobile robots that use inexpensive IR sensors in order to guide the robot through an unknown environment. The system is programmed in Python, utilizes one fuzzy system for total control and is self-contained. There are many systems made in the past which are mobile robots that used fuzzy logic in order to navigate in an unknown territory. However, those devices either required a wireless connection between the robot and a base station, or said robot used expensive sensors in order to guide itself around, such as ultrasonic sensors, or used multiple fuzzy systems in parallel to achieve the desired behavior from the robot. All of the examples mentioned above were coded in C/C++.

Citation Download Citation

Oscobionic Sebastian Fabian and Mihaela Hnatiuc "Obstacle avoidance fuzzy system for mobile robot with IR sensors", Proc. SPIE 12493, Advanced Topics in Optoelectronics, Microelectronics, and Nanotechnologies XI, 1249312 (2 March 2023); https://doi.org/10.1117/12.2643502

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