Zero distribution of system with unknown random variables case study: Avoiding collision path

This paper presents the stochastic analysis of finding the feasible trajectories of robotics arm motion at obstacle surrounding. Unknown variables are coefficients of polynomials joint angle so that the collision-free motion is achieved. ãk is matrix consisting of these unknown feasible polynomial...

Full description

Main Authors: Parman, S., MacHmudah, A., Baharom, M.B.
Format: Conference or Workshop Item
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.32283 /
Published: EDP Sciences 2014
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904974870&doi=10.1051%2fmatecconf%2f20141301005&partnerID=40&md5=e150f205c654c73ffdf0eb1bb3faada0
http://eprints.utp.edu.my/32283/
Tags: Add Tag
No Tags, Be the first to tag this record!
id utp-eprints.32283
recordtype eprints
spelling utp-eprints.322832022-03-29T05:03:00Z Zero distribution of system with unknown random variables case study: Avoiding collision path Parman, S. MacHmudah, A. Baharom, M.B. This paper presents the stochastic analysis of finding the feasible trajectories of robotics arm motion at obstacle surrounding. Unknown variables are coefficients of polynomials joint angle so that the collision-free motion is achieved. ãk is matrix consisting of these unknown feasible polynomial coefficients. The pattern of feasible polynomial in the obstacle environment shows as random. This paper proposes to model the pattern of this randomness values using random polynomial with unknown variables as coefficients. The behavior of the system will be obtained from zero distribution as the characteristic of such random polynomial. Results show that the pattern of random polynomial of avoiding collision can be constructed from zero distribution. Zero distribution is like building block of the system with obstacles as uncertainty factor. By scale factor k, which has range, the random coefficient pattern can be predicted. © 2014 Owned by the authors, published by EDP Sciences. EDP Sciences 2014 Conference or Workshop Item NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904974870&doi=10.1051%2fmatecconf%2f20141301005&partnerID=40&md5=e150f205c654c73ffdf0eb1bb3faada0 Parman, S. and MacHmudah, A. and Baharom, M.B. (2014) Zero distribution of system with unknown random variables case study: Avoiding collision path. In: UNSPECIFIED. http://eprints.utp.edu.my/32283/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description This paper presents the stochastic analysis of finding the feasible trajectories of robotics arm motion at obstacle surrounding. Unknown variables are coefficients of polynomials joint angle so that the collision-free motion is achieved. ãk is matrix consisting of these unknown feasible polynomial coefficients. The pattern of feasible polynomial in the obstacle environment shows as random. This paper proposes to model the pattern of this randomness values using random polynomial with unknown variables as coefficients. The behavior of the system will be obtained from zero distribution as the characteristic of such random polynomial. Results show that the pattern of random polynomial of avoiding collision can be constructed from zero distribution. Zero distribution is like building block of the system with obstacles as uncertainty factor. By scale factor k, which has range, the random coefficient pattern can be predicted. © 2014 Owned by the authors, published by EDP Sciences.
format Conference or Workshop Item
author Parman, S.
MacHmudah, A.
Baharom, M.B.
spellingShingle Parman, S.
MacHmudah, A.
Baharom, M.B.
Zero distribution of system with unknown random variables case study: Avoiding collision path
author_sort Parman, S.
title Zero distribution of system with unknown random variables case study: Avoiding collision path
title_short Zero distribution of system with unknown random variables case study: Avoiding collision path
title_full Zero distribution of system with unknown random variables case study: Avoiding collision path
title_fullStr Zero distribution of system with unknown random variables case study: Avoiding collision path
title_full_unstemmed Zero distribution of system with unknown random variables case study: Avoiding collision path
title_sort zero distribution of system with unknown random variables case study: avoiding collision path
publisher EDP Sciences
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84904974870&doi=10.1051%2fmatecconf%2f20141301005&partnerID=40&md5=e150f205c654c73ffdf0eb1bb3faada0
http://eprints.utp.edu.my/32283/
_version_ 1741197711974072320
score 11.62408

Similar Items