Nanorobotics
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
e-mail:adrianocavalcanti@ieee.org
Robert A. Freitas Jr.,
Zyvex Corporation,
Richardson,USA
e-mail:rfreitas@zyvex.com
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Contents ï Abstract ï 1. INTRODUCTION ï 2. NANOMEDICINE ï 3. PROPOSED DESIGN o 3.1 Virtual Environment o 3.2 Physically Based Simulation o 3.3 Cooperative Multi-Robot Teams o 3.4 Neural Motion ï 4. SIMULATION AND CONCLUSIONS ï References
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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. · 1. INTRODUCTION
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
Adriano Cavalcanti,
Darmstadt University of Technology,Computer Science Department
Darmstadt,Germany
e-mail:adrianocavalcanti@ieee.org
Robert A. Freitas Jr.,
Zyvex Corporation,
Richardson,USA
e-mail:rfreitas@zyvex.com
[pic]
Contents ï Abstract ï 1. INTRODUCTION ï 2. NANOMEDICINE ï 3. PROPOSED DESIGN o 3.1 Virtual Environment o 3.2 Physically Based Simulation o 3.3 Cooperative Multi-Robot Teams o 3.4 Neural Motion ï 4. SIMULATION AND CONCLUSIONS ï References
[pic]
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. · 1. INTRODUCTION
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