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Optimize path planning of a planar parallel robot to avoid obstacle collision using genetic algorithm

عنوان مقاله: Optimize path planning of a planar parallel robot to avoid obstacle collision using genetic algorithm
شناسه ملی مقاله: ICS12_236
منتشر شده در دوازدهمین کنفرانس ملی سیستم های هوشمند ایران در سال 1392
مشخصات نویسندگان مقاله:

Mohammad Danesh - Assistant Professor Department of Mechanical Engineering Isfahan University of Technology Isfahan, Iran
Mohammad Rasoul Abazari - M.Sc. Student Department of Mechanical Engineering Isfahan University of Technology Isfahan, Iran

خلاصه مقاله:
In this paper a new approach to optimize the path of a 3-RRR planar robot is studied. A reforming polynomial is utilized to refine the path of robot when robot faces an obstacleon its way. A genetic algorithm optimization process is used to denote the end-effector position at any time. In this methoddesign of a continuous and smooth motion was noticed, so the actuators remain healthy. Also some examples are presented to exhibit the performance of the proposed approach

کلمات کلیدی:
component; path planning; parallel planar robot;genetic algorithm;

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/276315/