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Task based design of modular robot manipulator using efficient genetic algorithm

Wan Kyun Chung, Jeongheon Han, Y. Youm, S.H. Kim

发表年份
2002
引用次数
69

摘要

A 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 a modular manipulator for a given, task, the algorithm is two step: determine the necessary configuration of the robot using kinematic equations and then determine the optimal link length using the proposed efficient genetic algorithm. Some of design examples are shown.

关键词

Modular designDecoupling (probability)RobotComputer scienceGenetic algorithmKinematicsSelf-reconfiguring modular robotRobot manipulatorTask (project management)Robot kinematics

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