Self-learning Mobile Robot Navigation in Unknown Environment Using Evolutionary Learning

被引：0

作者：

Algabri, Mohammed ^{[1
]}

Mathkour, Hassan ^{[1
]}

Ramdane, Hedjar ^{[1
]}

Alsulaiman, Mansour ^{[1
]}

Al-Mutib, Khalid ^{[1
]}

机构：

[1] King Saud Univ, Riyadh, Saudi Arabia

来源：

JOURNAL OF UNIVERSAL COMPUTER SCIENCE | 2014年 / 20卷 / 10期

关键词：

Robotics; Fuzzy Logic controller; soft computing; genetic algorithm; genetic-fuzzy algorithm;

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

An autonomous mobile robot operating in an unstructured environment must be able to learn with dynamic changes to that environment. Learning navigation and control of mobile robot in an unstructured environment is one of the most challenging problems. Fuzzy logic control is a useful tool in the field of navigation of mobile robot. In this research, we optimized a performance of fuzzy logic controller by evolutionary learning technique. Two proposed approaches have been designed and implemented: Fuzzy Logic Controller (FLC) and Genetic-Fuzzy Controller (GA-FLC). The Genetic Algorithm is used for automatically learning to tune the membership function parameters for mobile robot motion control. Moreover, the performance of these approaches are compared through simulation.

引用

页码：1459 / 1468

页数：10

共 50 条

[1] Intelligent mobile robot navigation in unknown and complex environment using reinforcement learning technique
Raj, Ravi
Kos, Andrzej
SCIENTIFIC REPORTS, 2024, 14 (01):
[2] Self-learning fuzzy navigation of mobile vehicle
Yung, NHC
Ye, C
ICSP '96 - 1996 3RD INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, PROCEEDINGS, VOLS I AND II, 1996, : 1465 - 1468
[3] Mobile Robot Control Using Self-Learning Neural Network
Markoski, Branko
Vukosavljev, Sasa
Kukolj, Dragan
Pletl, Szilveszter
2009 7TH INTERNATIONAL SYMPOSIUM ON INTELLIGENT SYSTEMS AND INFORMATICS, 2009, : 34 - +
[4] Self-Learning Robot Autonomous Navigation with Deep Reinforcement Learning Techniques
Pintos Gomez de las Heras, Borja
Martinez-Tomas, Rafael
Cuadra Troncoso, Jose Manuel
APPLIED SCIENCES-BASEL, 2024, 14 (01):
[5] Mobile robot path learning on an unknown environment
Araujo, R
De Almeida, AT
ALGORITHMS AND ARCHITECTURES FOR REAL-TIME CONTROL 1997, 1997, : 185 - 190
[6] A self-learning reactive navigation method for mobile robots
Xu, X
Wang, XN
He, HG
2003 INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND CYBERNETICS, VOLS 1-5, PROCEEDINGS, 2003, : 2384 - 2388
[7] Mobile robot navigation in an unknown environment
Jazayeri, A.
Fatehi, A.
Taghirad, H.
9TH IEEE INTERNATIONAL WORKSHOP ON ADVANCED MOTION CONTROL, VOLS 1 AND 2, PROCEEDINGS, 2006, : 295 - +
[8] Evolutionary approach to navigation learning in autonomous mobile robot
Wang, Fei
Kamano, Takuya
Yasuno, Takashi
Harada, Hironobu
PROCEEDINGS OF 2006 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE: 50 YEARS' ACHIEVEMENTS, FUTURE DIRECTIONS AND SOCIAL IMPACTS, 2006, : 268 - 270
[9] Fuzzy logic and reinforcement learning based approaches for mobile robot navigation in unknown environment
Cherroun, Lakhmissi
Boumehraz, Mohamed
Mediterranean Journal of Measurement and Control, 2013, 9 (03): : 109 - 117
[10] Development of control algorithms for a self-learning mobile robot
Resceanu, Ionut
Niculescu, Marius
PROCEEDINGS OF THE 7TH WSEAS INTERNATIONAL CONFERENCE ON APPLIED COMPUTER SCIENCE: COMPUTER SCIENCE CHALLENGES, 2007, : 300 - +

← 1 2 3 4 5 →