Robot-aided biological cell transport and obstacle removal for multiple operation steps
Hao Yang, Xiangpeng Li, Dong Sun
- 发表年份
- 2016
- 引用次数
- 2
摘要
Most of the existing automated cell transport approaches are oriented as single tasks, which cannot meet the increasing demand for complex cell operations that usually require a series of manipulation tasks. In this paper, an automated cell transportation approach toward multistep cell operation processes is reported. A novel control system is developed based on a manipulation platform for robot-aided optical tweezers, which can sequentially and continuously move a group of target cells to different task regions without interruption and remove suspended obstacles in the field of view. Potential field-based feedback controllers are developed to drive cells to move into different task regions and synchronously remove obstacles by utilizing the concepts of tweezers-cell coalition, contractive coalition. Experiments have been performed on the transfer of a group of cells to different task regions to verify the effectiveness of the proposed approach.
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