Title :
Assembly automation with evolutionary nanorobots and sensor-based control applied to nanomedicine
Author :
Cavalcanti, Adriano
Author_Institution :
Comput. Sci. Dept., Darmstadt Univ. of Technol., Germany
Abstract :
The author presents a new approach within advanced graphics simulations for the problem of nanoassembly automation and its application for medicine. The problem under study concentrates its main focus on nanorobot autonomous control for assembly manipulation and the use of evolutionary competitive agents as a suitable way to warranty the robustness of any proposed model. Thereby the presented paper summarizes as well distinct aspects of some techniques required to achieve a successful nanoplanning system design and its simulation visualization in real time.
Keywords :
assembly planning; computer graphics; digital simulation; medical robotics; microassembling; micromanipulators; microrobots; nanopositioning; advanced graphics simulation; assembly manipulation; evolutionary nanorobots; nanoassembly automation; nanomedicine; nanoplanning system design; nanorobot autonomous control; real time simulation visualization; sensor-based control; Assembly; Automatic control; Automation; Graphics; Medical control systems; Medical simulation; Real time systems; Robust control; Visualization; Warranties;
Conference_Titel :
Nanotechnology, 2002. IEEE-NANO 2002. Proceedings of the 2002 2nd IEEE Conference on
Print_ISBN :
0-7803-7538-6
DOI :
10.1109/NANO.2002.1032215
