NDLI: RL-ART2 Neural Network Based Mobile Robot Path Planning

Content Provider	IEEE Xplore Digital Library
Author	Fan Jian Fei MinRui Ma ShiWei
Copyright Year	2006
Description	Author affiliation: Sch. of Mechatronics Eng. & Autom., Shanghai Univ. (Fan Jian; Fei MinRui; Ma ShiWei)
Abstract	The paper proposes a reinforcement learning based ART2 neural network (RL-ART2) and its learning algorithm. ART2 is used to store abundant classified patterns and state space. Facing large classified patterns, it's hard to evaluate and select a classified pattern by hand, so the paper imports evaluating and selecting mechanism of reinforcement learning into ART2 for solving how to evaluate and select the classified pattern, and uses RL-ART2 to propose collision avoidance system RLART2-CAS in the research of path planning of mobile robot. The simulation experiment indicates that the collision times between robot and obstacle is effectively decreased. The RL-ART2 makes favorable result of path planning
Starting Page	581
Ending Page	585
File Size	315089
Page Count	5
File Format	PDF
ISBN	0769525288
DOI	10.1109/ISDA.2006.253901
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-10-16
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Reinforcement learning Path planning State-space methods Mobile robots Equations Intelligent sensors Orbital robotics Neural networks Machine learning Resonance ART2 neural network Mobile robot Collision avoidance
Content Type	Text
Resource Type	Article

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