Solving the inverse kinematics for robot manipulators using modified electromagnetism-like algorithm with record to record travel

Issa Ahmed Abed, S. P. Koh, K. S.M. Sahari, S. K. Tiong, Nadia M.L. Tan

Research output: Journal PublicationArticlepeer-review

2 Citations (Scopus)

Abstract

A new modification of Electromagnetism-like (EM) algorithm which incorporating the Record-to-Record Travel (RRT) local search algorithm; namely MEMR has been developed to solve the problem of Inverse Kinematics (IK) for a four Degree-of-Freedom (DOF) manipulator. The proposed method is able to generate multiple robot configurations for the IK test performed at different end effect or positions. In addition, the comparison between the proposed MEMR and Genetic Algorithm (GA) was carried out using two mathematical test functions; De Jong and Rastrigin. The tests results show that the proposed MEMR is comparable in performance to GA in terms of both convergence speed and error rate.

Original languageEnglish
Pages (from-to)3986-3994
Number of pages9
JournalResearch Journal of Applied Sciences, Engineering and Technology
Volume7
Issue number19
DOIs
Publication statusPublished - 2014
Externally publishedYes

Keywords

  • Attraction-repulsion mechanism
  • Deviation
  • Local search
  • Planar robot

ASJC Scopus subject areas

  • General Computer Science
  • General Engineering

Fingerprint

Dive into the research topics of 'Solving the inverse kinematics for robot manipulators using modified electromagnetism-like algorithm with record to record travel'. Together they form a unique fingerprint.

Cite this