Task based design of modular robot manipulator using efficient genetic algorithm

Jeongheon Han, W. K. Chung, Y. Youm, S. H. Kim

Research output: Contribution to journalConference articlepeer-review

65 Scopus citations

Abstract

Modular robot manipulator is a robotic system assembled from discrete joints and links into one of many possible manipulator configurations. This paper describes a task based design method of modular robot manipulators. A locking mechanism which provides quick coupling and decoupling is developed and a parallel connection method is devised reducing the number of components on each module. To automatically determine the optimal link lengths of modular manipulator for a given task, the algorithm is two step: determine the necessary configuration of robot using kinematic equations and then determine the optimal link length using the proposed efficient genetic algorithm. Some of design examples are shown.

Original languageEnglish
Pages (from-to)507-512
Number of pages6
JournalProceedings - IEEE International Conference on Robotics and Automation
Volume1
StatePublished - 1997
Externally publishedYes
EventProceedings of the 1997 IEEE International Conference on Robotics and Automation, ICRA. Part 3 (of 4) - Albuquerque, NM, USA
Duration: Apr 20 1997Apr 25 1997

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