Using Electromagnetism-like algorithm and genetic algorithm to optimize time of task scheduling for dual manipulators

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

A method based on Electromagnetism-Like algorithm (EM) and Genetic Algorithm (GA) is proposed to determine the time-optimal task scheduling for dual robot manipulators. GA is utilized to calculate the near-optimal task scheduling for the two robots. On top of that, the EM is recommended as a suitable alternative to obtain multiple solutions at each task points for both manipulators with less error. During the course of the tour, the dual robots move from point to point with less cycle time, while ensuring that no collision occurs between the two manipulators or between the dual manipulators and the static obstacles in the workspace. The movement and the configurations of the manipulators at the task points were visualized using a simulator developed via Visual Basic. Net. The method is verified using two simulators acting as examples for two identical four-link planar robots working in the environment, with square-shaped obstacles cluttered at different locations.

Original languageEnglish
Title of host publication2013 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2013
Pages182-187
Number of pages6
DOIs
Publication statusPublished - 01 Dec 2013
Event2013 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2013 - Sendai, Japan
Duration: 26 Aug 201329 Aug 2013

Publication series

Name2013 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2013

Other

Other2013 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2013
CountryJapan
CitySendai
Period26/08/1329/08/13

All Science Journal Classification (ASJC) codes

  • Management of Technology and Innovation

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    Abed, I. A., Mohamed Sahari, K. S., Koh, J. S. P., Tiong, S. K., & Jagadeesh, P. (2013). Using Electromagnetism-like algorithm and genetic algorithm to optimize time of task scheduling for dual manipulators. In 2013 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2013 (pp. 182-187). [6669038] (2013 IEEE Region 10 Humanitarian Technology Conference, R10-HTC 2013). https://doi.org/10.1109/R10-HTC.2013.6669038