Towards Automated Robotic Nanomanipulation Systems
Daniel Jasper, Christoph Edeler, Claas Diederichs, Mirko Naroska, Christian Stolle, Sergej Fatikow
- Year
- 2009
- Citations
- 9
Abstract
This paper describes the key components that need to be developed, implemented and integrated in order to make full automation on the nano-scale possible. Multiple nanohandling robots are integrated into a flexible robot cell that can quickly adapt to different manipulation scenarios. An approach for the physical actuation of the employed smart ac- tuators is given. A real-time capable control architecture makes efficient and reliable automation possible. With specialized methods of collision avoidance and path planning, the actual automation sequences can then abstract from the complex task of motion planning for individual robots. Furthermore, the major challanges when performing calibration and adjustment on the nanoscale are highlighted.
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