Throwing Manipulation by One Joint Robot(Mechanical Systems)
Masahito Yashima, Hideyuki Miyashita, Tasuku Yamawaki
- Year
- 2009
- Citations
- 3
- Access
- Open access
Abstract
This paper proposes the control strategy for throwing manipulation. In throwing manipulation, the robot's motion is dynamic and quick and there is transition of contact state between the robot and an object. These make it difficult to obtain the exact model and solve its inverse problem. In addition, since the throwing manipulation requires more powerful actuator than the static manipulation, we should set the control input by taking consideration of the performance limits of the actuator. We propose the control strategy based on the iteration learning to overcome the abovementioned problems and verify its effectiveness experimentally.
Keywords
Related papers
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