Obstacle Avoidance using Fuzzy Controller for Unicycle Robot

被引：1

作者：

Oultiligh, Ahmed ^{[1
]}

Ayad, Hassan ^{[1
]}

Pozna, Claudiu ^{[2
]}

Mogan, Gheorghe ^{[2
]}

ELbouzekraoui, Mohammed ^{[1
]}

Elkari, Badr ^{[1
]}

机构：

[1] Univ Cadi Ayyad, Lab Elect Syst & Telecommun, Marrakech, Morocco

[2] Univ Brasov, Lab Robot, R&D Inst Res, Brasov, Romania

来源：

2020 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND DIAGNOSIS (ICCAD) | 2020年

关键词：

Fuzzy logic; the human-machine interface; mobile robot; ultrasonic sensors; and infrared; MOBILE ROBOT; NAVIGATION; ALGORITHM;

D O I：

10.1109/iccad49821.2020.9260553

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Obstacle avoidance, researching goal, and the path planning are the most important tasks for an autonomous mobile robot which moves in an uncertain environment, this paper presents a method of a fuzzy controller to control the robot to avoid all fixed and mobile obstacles. The objective is the control and programming of a mobile robot with obstacle avoidance using fuzzy logic. This robot can be controlled by a human-machine interface or by a keyboard. Communication between the human-machine interface and Robot is done by using wireless communication. Ultrasonic sensors and infrared sensors will be used to measure the distances between the robot and the obstacles in different directions. This robot can avoid collision with obstacles by intelligent reasoning using fuzzy logic.

引用

页码：237 / 242

页数：6

共 21 条

[1] Control structure for a car-like robot using artificial neural networks and genetic algorithms [J].

Caceres Florez, Camilo Andres ;

Rosario, Joao Mauricio ;

Amaya, Dario .

NEURAL COMPUTING & APPLICATIONS, 2020, 32 (20) :15771-15784

[2]

Chen GL, 2019, COMPUT INTEL NEUROSC, V2019, DOI [10.1155/2019/1932812, 10.1007/s12144-019-00572-8]

[3]

Corke P., 2017, Robotics, Vision and Control, V118

[4]

El Kari B., 2019, INT REV AUTOM CONTRO, V12

[5]

Ganapathy V., 2016, INDIAN J SCI TECHNOL, V9, P1, DOI [10.17485/ijst/2016/v9i45/102431, DOI 10.17485/ijst/2016/v9i45/102431]

[6] A Novel Step Optimal Path Planning Algorithm for the Spherical Mobile Robot Based on Fuzzy Control [J].

Guo, Jian ;

Li, Chunying ;

Guo, Shuxiang .

IEEE ACCESS, 2020, 8 :1394-1405

[7]

Kishan R., 2019, 3 DIMENSIONAL PATH P

[8] COLLISION-FREE AUTONOMOUS ROBOT NAVIGATION IN UNKNOWN ENVIRONMENTS UTILIZING PSO FOR PATH PLANNING [J].

Krell, Evan ;

Sheta, Alaa ;

Balasubramanian, Arun Prassanth Ramaswamy ;

King, Scott A. .

JOURNAL OF ARTIFICIAL INTELLIGENCE AND SOFT COMPUTING RESEARCH, 2019, 9 (04) :267-282

[9] Optimal path planning for a mobile robot using cuckoo search algorithm [J].

Mohanty, Prases K. ;

Parhi, Dayal R. .

JOURNAL OF EXPERIMENTAL & THEORETICAL ARTIFICIAL INTELLIGENCE, 2016, 28 (1-2) :35-52

[10] OPTIMAL PATH PLANNING FOR AN AUTONOMOUS MOBILE ROBOT USING DRAGONFLY ALGORITHM [J].

Muthukumaran, S. ;

Sivaramakrishnan, R. .

INTERNATIONAL JOURNAL OF SIMULATION MODELLING, 2019, 18 (03) :397-407

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