Task-Specific Manipulator Design and Trajectory Synthesis
Julian Whitman, Howie Choset
- 发表年份
- 2018
- 引用次数
- 36
摘要
This letter addresses the challenge of determining the optimal design of a customizable robot for a given task. We present a motion planner that not only prescribes a path, but also synthesizes the robot design to follow that path. Our approach treats design variables as part of an inverse kinematics problem to jointly optimize manipulator design parameters and trajectory. We apply our method to two distinct problems where rapid prototyping and customization are desirable: an arm prototyped for a future Mars mission, and a wearable backpack-mounted arm. We then propose a novel method to minimize the number of joints in the mechanism while maintaining its ability to reach workspace task poses. We combine these methods into a framework in which we iteratively optimize and simplify task-specialized manipulator designs.
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