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

Setyamartana Parman, Affiani MacHmudah, M. B. Baharom

Research output: Contribution to journalConference articlepeer-review

Abstract

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.

Original languageEnglish
Article number01005
JournalMATEC Web of Conferences
Volume13
DOIs
Publication statusPublished - 2014
Externally publishedYes
Event4th International Conference on Production, Energy and Reliability, ICPER 2014 - Kuala Lumpur, Malaysia
Duration: 3 Jun 20145 Jun 2014

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