Mobile Robot Navigation Using Reinforcement Learning Based on Neural Network with Short Term Memory

被引：0

作者：

Gavrilov, Andrey V. ^{[1
]}

Lenskiy, Artem ^{[2
]}

机构：

[1] Novosibirsk State Tech Univ, Dept Prod Automat Machine Engn, Karl Marx Av 20, Novosibirsk 630092, Russia

[2] Korea Univ Technol & Educ, Sch Elect Elect & Commun Engn, Byeongcheon 330708, Dongnam Cheonan, South Korea

来源：

ADVANCED INTELLIGENT COMPUTING | 2011年 / 6838卷

关键词：

neural networks; mobile robots; reinforcement learning; ARCHITECTURE;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper we propose a novel bio-inspired model of a mobile robot navigation system. The novelty of our work consists in combining short term memory and online neural network learning using history of events stored in this memory. The neural network is trained with a modified error back propagation algorithm that utilizes reward and punishment principal while interacting with the environment.

引用

页码：210 / +

页数：3

共 50 条

[1] Using the GTSOM Network for Mobile Robot Navigation with Reinforcement Learning
Menegaz, Mauricio
Engel, Paulo M.
IJCNN: 2009 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOLS 1- 6, 2009, : 716 - 720
[2] Short-Term Memory Mechanisms in Neural Network Learning of Robot Navigation Tasks: A Case Study
Freire, Ananda L.
Barreto, Guilherme A.
Veloso, Marcus
Varela, Antonio T.
2009 6TH LATIN AMERICAN ROBOTICS SYMPOSIUM, 2009, : 51 - +
[3] Mobile Robot Navigation Using Deep Reinforcement Learning
Lee, Min-Fan Ricky
Yusuf, Sharfiden Hassen
PROCESSES, 2022, 10 (12)
[4] Reinforcement learning based on backpropagation for mobile robot navigation
Jaksa, R
Majerník, P
Sincák, P
COMPUTATIONAL INTELLIGENCE FOR MODELLING, CONTROL & AUTOMATION - NEURAL NETWORKS & ADVANCED CONTROL STRATEGIES, 1999, 54 : 46 - 51
[5] Mobile Robot Navigation based on Deep Reinforcement Learning
Ruan, Xiaogang
Ren, Dingqi
Zhu, Xiaoqing
Huang, Jing
PROCEEDINGS OF THE 2019 31ST CHINESE CONTROL AND DECISION CONFERENCE (CCDC 2019), 2019, : 6174 - 6178
[6] Reinforcement Learning Based Approach For Mobile Robot Navigation
Jaseem, Mohammed M.
Mathew, Robins
Hiremath, Somashekhar S.
PROCEEDINGS OF 2019 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND KNOWLEDGE ECONOMY (ICCIKE' 2019), 2019, : 524 - 527
[7] Reinforcement learning-based mobile robot navigation
Altuntas, Nihal
Imal, Erkan
Emanet, Nahit
Ozturk, Ceyda Nur
TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES, 2016, 24 (03) : 1747 - 1767
[8] Simulation of Mobile Robot Navigation Utilizing Reinforcement and Unsupervised Weightless Neural Network Learning Algorithm
Yusof, Yusman
Mansor, H. M. Asri H.
Baba, H. M. Dani
2015 IEEE STUDENT CONFERENCE ON RESEARCH AND DEVELOPMENT (SCORED), 2015, : 123 - 128
[9] Fuzzy situation based navigation of autonomous mobile robot using reinforcement learning
Guanlao, R
Musilek, P
Ahmed, F
Kaboli, A
NAFIPS 2004: ANNUAL MEETING OF THE NORTH AMERICAN FUZZY INFORMATION PROCESSING SOCIETY, VOLS 1AND 2: FUZZY SETS IN THE HEART OF THE CANADIAN ROCKIES, 2004, : 820 - 825
[10] Local Path Planning of Mobile Robot Based on Long Short-Term Memory Neural Network
Caihong Na Guo
Di Li
Yong Wang
Guoming Song
Tengteng Liu
Automatic Control and Computer Sciences, 2021, 55 : 53 - 65

← 1 2 3 4 5 →