Effects of genetic algorithm parameters on trajectory planning for 6-DOF industrial robots

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Cakir M., Butun E., Kayman Y.

INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION, vol.33, no.3, pp.205-215, 2006 (SCI-Expanded)

• Publication Type: Article / Article
• Volume: 33 Issue: 3
• Publication Date: 2006
• Doi Number: 10.1108/01439910610659114
• Journal Name: INDUSTRIAL ROBOT-THE INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH AND APPLICATION
• Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus
• Page Numbers: pp.205-215
• Keywords: trajectories, robotics, genetic engineering, algorithmic languages
• Kocaeli University Affiliated: Yes

Abstract

Purpose - Seeks to present a new method of trajectory planning, i.e. genetic algorithms (GA), for six-degree-of-freedom (DOF) industrial robots.