Home /Research /Nanosystem Design with Dynamic Collision Detection for Autonomous Nanorobot Motion Control using Neural Networks
SWARM

Nanosystem Design with Dynamic Collision Detection for Autonomous Nanorobot Motion Control using Neural Networks

Adriano Cavalcanti, Robert A. Freitas

Year
2002
Citations
8

Abstract

The authors present a new approach within advanced graphics simulations for the problem of nano-assembly automation and its application in medicine using collective robotics. The problem under study concentrates its main focus on autonomous control for nanorobot teams coordination as a suitable way to perform a large range of tasks and assembly manipulation in a complex environment. The presented paper summarizes distinct aspects of some techniques required to achieve a successful nano-planning system design for a large number of cooperating autonomous agents and illustrates their three dimensional visualization in real time.

Keywords

RoboticsArtificial intelligenceComputer scienceAutomationControl engineeringFocus (optics)VisualizationArtificial neural networkControl (management)Nanorobotics

Related papers

Browse all SWARM papers