Remote learning for the manipulation and control of robotic cells
O. H. Goldstain, Irad Ben‐Gal, Yossi Bukchin
- 发表年份
- 2007
- 引用次数
- 23
摘要
This work proposes an approach to remote learning of robotic cells based on internet and simulation tools. The proposed approach, which integrates remote-learning and tele-operation into a generic scheme, is designed to enable students and developers to set-up and manipulate a robotic cell remotely. Its implementation is based on a dedicated website that supports a full three-dimensional simulation and a manual online control of the cell. The website provides high flexibility for making changes in the design of the work area, independent of the user’s location. The website can be used to further integrate full-scale remote learning labs in collaboration with other organizations.
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