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
相关论文
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002