Collective robotics coherent behaviour for nanosystems with sensor-based neural motion

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 team coordination as a suitable way to perform a large range of tasks and assembly manipulation in a complex environment. The authors summarize 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.

[1]  Geoffrey E. Hinton,et al.  NeuroAnimator: fast neural network emulation and control of physics-based models , 1998, SIGGRAPH.

[2]  Claus Ronald Kube,et al.  Collective robotics: from local perception to global action , 1998 .

[3]  A.C.D. Silva.  A virtual environment for evolutionary autonomous optimization of real time stochastic control design , 2002, Final Program and Abstracts on Information, Decision and Control.

[4]  Louis L. Whitcomb,et al.  Underwater robotics: out of the research laboratory and into the field , 2000, Proceedings 2000 ICRA. Millennium Conference. IEEE International Conference on Robotics and Automation. Symposia Proceedings (Cat. No.00CH37065).

[5]  Simon Haykin,et al.  Neural Networks: A Comprehensive Foundation , 1998 .

[6]  Sylvain Martel,et al.  NanoWalker: a fully autonomous highly integrated miniature robot for nanoscale measurements , 1999, Industrial Lasers and Inspection.

[7]  Robert A. Freitas,et al.  Nanomedicine, Volume I: Basic Capabilities , 1999 .

[8]  M. Gao,et al.  Electric field directed layer-by-layer assembly of highly fluorescent CdTe nanoparticles. , 2001, Journal of nanoscience and nanotechnology.

[9]  David Baraff,et al.  Fast contact force computation for nonpenetrating rigid bodies , 1994, SIGGRAPH.

[10]  Cara MacNish,et al.  From Nanotechnology to Nano-Planning , 1998 .

[11]  K. Eric Drexler,et al.  Nanosystems - molecular machinery, manufacturing, and computation , 1992 .

[12]  Roland Stracke,et al.  Physical and technical parameters determining the functioning of a kinesin-based cell-free motor system , 2000 .

[13]  Masami Hagiya,et al.  From Molecular Computing to Molecular Programming , 2000, DNA Computing.

[14]  Thierry Siméon,et al.  Indoor navigation with uncertainty using sensor-based motions , 1997, Proceedings of International Conference on Robotics and Automation.

[15]  Leonard M. Adleman,et al.  On constructing a molecular computer , 1995, DNA Based Computers.

[16]  T. Seeley,et al.  Collective decision-making in honey bees: how colonies choose among nectar sources , 1991, Behavioral Ecology and Sociobiology.

[17]  Aristides A. G. Requicha,et al.  Automatic planning of nanoparticle assembly tasks , 2001, Proceedings of the 2001 IEEE International Symposium on Assembly and Task Planning (ISATP2001). Assembly and Disassembly in the Twenty-first Century. (Cat. No.01TH8560).