You are not logged in.
Openly accessible

A reinforcement learning approach for robot control in an unknown environment

Xiao, Nan-Feng and Nahavandi, Saeid 2002, A reinforcement learning approach for robot control in an unknown environment, in IEEE ICIT' 02 : 2002 IEEE International Conference on Industrial Technology : productivity reincarnation through robotics & automation : 11-14 December 2002, Shangri-La Hotel, Bangkok, Thailand, IEEE Xplore, Piscataway, N.J., pp. 1096-1099.

Attached Files
Name Description MIMEType Size Downloads
nahavandi-reinforcementlearning-2002.pdf Published version application/pdf 452.15KB 126

Title A reinforcement learning approach for robot control in an unknown environment
Author(s) Xiao, Nan-Feng
Nahavandi, Saeid
Conference name IEEE International Conference on Industrial Technology (2002 : Bangkok, Thailand)
Conference location Bangkok, Thailand
Conference dates 11-14 December 2002
Title of proceedings IEEE ICIT' 02 : 2002 IEEE International Conference on Industrial Technology : productivity reincarnation through robotics & automation : 11-14 December 2002, Shangri-La Hotel, Bangkok, Thailand
Editor(s) [Unknown]
Publication date 2002
Conference series IEEE International Conference on Industrial Technology
Start page 1096
End page 1099
Publisher IEEE Xplore
Place of publication Piscataway, N.J.
Keyword(s) robot control
reinforcement learning
unknown environment
Summary In this paper, a control approach based on reinforcement learning is present for a robot to complete a dynamic task in an unknown environment. First, a temporal difference-based reinforcement learning algorithm and its evaluation function are used to make the robot learn with its trials and errors as well as experiences. Second, the simulation are carried out to adjust the parameters of the learning algorithm and determine an optimal policy by using the models of a robot. Last, the effectiveness of the present approach is demonstrated by balancing an inverse pendulum in the unknown environment.
Notes This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.
ISBN 0780376579
9780780376571
Language eng
Field of Research 080101 Adaptive Agents and Intelligent Robotics
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category E1 Full written paper - refereed
Copyright notice ©2002, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30004858

Document type: Conference Paper
Collections: School of Engineering and Technology
Open Access Collection
Connect to link resolver
 
Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved.

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.

Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in TR Web of Science
Scopus Citation Count Cited 10 times in Scopus
Google Scholar Search Google Scholar
Access Statistics: 607 Abstract Views, 126 File Downloads  -  Detailed Statistics
Created: Mon, 07 Jul 2008, 09:42:22 EST

Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.