Topics: Nanotechnology, Artificial neural network, Neural network Pages: 16 (4692 words) Published: March 26, 2012
Nanosystem Design with Dynamic Collision Detection for Autonomous Nanorobot Motion Control using Neural Networks  
Adriano Cavalcanti,
Darmstadt University of Technology,Computer Science Department Darmstadt,Germany
Robert A. Freitas Jr.,
Zyvex Corporation,
ï Abstract
o 3.1 Virtual Environment
o 3.2 Physically Based Simulation
o 3.3 Cooperative Multi-Robot Teams
o 3.4 Neural Motion
ï References
Abstract: The authors present a new approach using 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: Virtual Reality, Physically Based Simulation, NanoCAD, Motion Control, Collective Nanorobotics Behavior, Nanomedicine.  

The starting point of nanotechnology to achieve the main goal of building nanoscale systems is the development of autonomous molecular machine systems. The presented paper describes the design and simulation of autonomous multi-robot teams operating at atomic scales with distinct assembly tasks. Teams must cooperate with each other in order to achieve a productive result in assembling biomolecules into larger biomolecules. These biomolecules will be delivered to “organs� (into a set of predefined organ inlets), and such deliveries must also be coordinated in time. Building patterns and manipulating atoms with the use of Scanning Probe Microscopes (SPM) as in Atomic Force Microscopy and Scanning Tunneling Microscopy [19] is a promising approach for the construction of nanoelectromechanical systems (NEMS) with 3D precision at up to 0.01 nm resolution. However, these manual manipulations require much time and at present such repetitive tasks give imprecise results when performed manually on a large number of molecules. Approaches for nano-planning systems have been presented [19] as a first step towards automating 2D assembly tasks in nanorobotics, and the possible use of artificial intelligence as the appropriate means to enable some aspects of intelligent behaviour for the control of nanorobots in molecular manufacturing automation has been discussed in the nano community [08]. Theoretical work in molecular manufacturing has emphasized the need for very small and very accurate manipulators which simultaneously have a wide range of motion to enable the task of assembling molecular components [10]. More recent work in the possible automation of nanoscale manipulation has produced a fully autonomous motion manipulator system capable of performing 200,000 accurate measurements per second at the atomic scale [20]. · 2. NANOMEDICINE

The principal focus in medicine is going to shift from medical science to medical engineering, where the design of medically-active microscopic machines will be the consequent result of the techniques provided from human molecular structure knowledge derived during the 20th (and the beginning of the 21st) century [11]. For the feasibility of such achievements in nanomedicine [11] two primary capabilities are required: fabrication of parts and assembly of parts. Through the use of different approaches such as biotechnology, supramolecular chemistry, and scanning probes, both capabilities had been demonstrated in limited fashion as early as 1998 [11]....
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