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Multi-task learning control system by compound function with application in goal and obstacle consideration

Multi-tasking in actions help humans produce actions that satisfy the need of multiple purposes. Even though humans may apply multi-tasking when producing actions, a control device mainly produces a control action that can only satisfies a single task. In this research, a method of Learning Control...

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Bibliographic Details
Main Author: Syafiq Fauzi, Kamarulzaman
Format: Conference or Workshop Item
Language:English
Published: Institute of Electrical and Electronics Engineers Inc. 2017
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
Online Access:http://umpir.ump.edu.my/id/eprint/27002/1/Multi-task%20learning%20control%20system%20by%20compound%20function%20with%20application%20.pdf
http://umpir.ump.edu.my/id/eprint/27002/
https://doi.org/10.1109/IRIS.2016.8066061
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spelling my.ump.umpir.270022020-03-22T23:50:47Z http://umpir.ump.edu.my/id/eprint/27002/ Multi-task learning control system by compound function with application in goal and obstacle consideration Syafiq Fauzi, Kamarulzaman QA75 Electronic computers. Computer science QA76 Computer software TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering Multi-tasking in actions help humans produce actions that satisfy the need of multiple purposes. Even though humans may apply multi-tasking when producing actions, a control device mainly produces a control action that can only satisfies a single task. In this research, a method of Learning Control that utilizes compound function in developing and applying multiple control knowledge (state-action rule) of tasks is proposed. Decision management for considering either tasks is conducted by compound function with which multiple control knowledge of tasks are combined into one compound control knowledge (compound state-action rule) for serving these tasks, while maintaining the development of the individual control knowledge of tasks during a control operation. The proposed method was evaluated in experiments using a robot for tasks of attaining a goal and avoiding obstacles simultaneously. Based on the results, the effectiveness was confirmed through the experiments for the tasks of avoiding obstacle and attaining goal. Institute of Electrical and Electronics Engineers Inc. 2017-10-11 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/27002/1/Multi-task%20learning%20control%20system%20by%20compound%20function%20with%20application%20.pdf Syafiq Fauzi, Kamarulzaman (2017) Multi-task learning control system by compound function with application in goal and obstacle consideration. In: IEEE 4th International Symposium on Robotics and Intelligent Sensors (IRIS 2016), 17-20 December 2016 , Tokyo, Japan. pp. 27-33.. ISBN 978-1-5090-6084-9 https://doi.org/10.1109/IRIS.2016.8066061
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA75 Electronic computers. Computer science
QA76 Computer software
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
TJ Mechanical engineering and machinery
TK Electrical engineering. Electronics Nuclear engineering
Syafiq Fauzi, Kamarulzaman
Multi-task learning control system by compound function with application in goal and obstacle consideration
description Multi-tasking in actions help humans produce actions that satisfy the need of multiple purposes. Even though humans may apply multi-tasking when producing actions, a control device mainly produces a control action that can only satisfies a single task. In this research, a method of Learning Control that utilizes compound function in developing and applying multiple control knowledge (state-action rule) of tasks is proposed. Decision management for considering either tasks is conducted by compound function with which multiple control knowledge of tasks are combined into one compound control knowledge (compound state-action rule) for serving these tasks, while maintaining the development of the individual control knowledge of tasks during a control operation. The proposed method was evaluated in experiments using a robot for tasks of attaining a goal and avoiding obstacles simultaneously. Based on the results, the effectiveness was confirmed through the experiments for the tasks of avoiding obstacle and attaining goal.
format Conference or Workshop Item
author Syafiq Fauzi, Kamarulzaman
author_facet Syafiq Fauzi, Kamarulzaman
author_sort Syafiq Fauzi, Kamarulzaman
title Multi-task learning control system by compound function with application in goal and obstacle consideration
title_short Multi-task learning control system by compound function with application in goal and obstacle consideration
title_full Multi-task learning control system by compound function with application in goal and obstacle consideration
title_fullStr Multi-task learning control system by compound function with application in goal and obstacle consideration
title_full_unstemmed Multi-task learning control system by compound function with application in goal and obstacle consideration
title_sort multi-task learning control system by compound function with application in goal and obstacle consideration
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2017
url http://umpir.ump.edu.my/id/eprint/27002/1/Multi-task%20learning%20control%20system%20by%20compound%20function%20with%20application%20.pdf
http://umpir.ump.edu.my/id/eprint/27002/
https://doi.org/10.1109/IRIS.2016.8066061
_version_ 1822921225018540032
score 13.235362

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