Skip to main content

Here Comes the Robotic Brain !

  • Conference paper
Trends in Intelligent Robotics (FIRA 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 103))

Included in the following conference series:

  • 1409 Accesses

Abstract

Year after year computers increase their processing power. This has been an advantage for the implementation of new and powerful robotic algorithms. While every day more complex algorithms appear, most of the increased processing capabilities of the newest microprocessors get easily exhausted. By analyzing the Artificial Neuron Model, this paper predicts that with the current tendencies in the increase of the microprocessor’s power in 2050 the processing power of computers could reach the processing power of the human brain. Besides that, while the robotic systems integration becomes harder and no standards exist in this matter, the use of Artificial Neural Networks becomes more popular. This work studies the possibility of having a Neural Processing Architecture in the future, i.e. a Robotic Brain, under the perspective of pure neural processing power, as a feasible alternative in the development and integration of more complex architectures and algorithms in robotics.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Moravec, H.: Mind Children. Harvard University Press, Cambridge (1988)

    Google Scholar 

  2. Moore, G.E.: Cramming more components onto integrated circuits. Electronics Magazine 38(8) (April 19,1965)

    Google Scholar 

  3. Savage, J., LLarena, A., Carrera, G., Cuellar, S., Esparza, D., Minami, Y., Peñuelas, U.: ViRbot: A System for the Operation of Mobile Robots. In: Visser, U., Ribeiro, F., Ohashi, T., Dellaert, F. (eds.) RoboCup 2007: Robot Soccer World Cup XI. LNCS (LNAI), vol. 5001, pp. 512–519. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  4. Ishiguro, H., Kanda, T., Kimoto, K., Ishida, T.: A Robot Architecture Based on Situated Modules. In: Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Kyongju, Korea, pp. 1617–1623 (1999)

    Google Scholar 

  5. Amdahl, G.: Validity of the Single Processor Approach to Achieving Large-Scale Computing Capabilities. In: AFIPS Conference Proceedings, vol. (30), pp. 483–485 (1967)

    Google Scholar 

  6. http://www.abovetopsecret.com/forum/thread532721/pg1

  7. Guyton, A.C., Hall, J.E.: Medical Physiology, 11th edn. Elsevier Saunders, Amsterdam (2006)

    Google Scholar 

  8. Abbott, L.F., Dayan, P.: Theoretical neuroscience: computational and mathe-matical modeling of neural systems. MIT Press, Cambridge (2001) ISBN 0-262-04199-5

    MATH  Google Scholar 

  9. Haykin, S.: Neural Networks. A Comprehensive Foundation, 2nd edn. Prentice Hall, Englewood Cliffs (1999)

    MATH  Google Scholar 

  10. Alonso-Nanclares, L., Gonzalez-Soriano, J., Rodriguez, J.R., DeFelipe, J.: Gender differences in human cortical synaptic density. Proc. Nat. Acad. Sci. U.S.A. 105(38), 14615–14619 (2008), doi:10.1073/pnas.0803652105.PMID 18779570

    Article  Google Scholar 

  11. Myhrvold, N.: Moore’s Law Corollary: Pixel Power. New York Times (June 7, 2006), http://www.nytimes.com/2006/06/07/technology/circuits/07essay.html

  12. Image taken from, http://en.wikipedia.org/wiki/Moore’s_law

  13. http://www.intel.com/support/processors/sb/cs-023143.htm#4

  14. http://evolution.mbdojo.com/you_figure_it_out.htm

  15. Roth, G., Dicke, U.: Evolution of the Brain and Intelligence. In: TRENDS in Cognitive Sciences, vol. 9(5). Elsevier, Amsterdam (May 2005)

    Google Scholar 

  16. http://www.sciencedaily.com/releases/2009/11/091117124009.htm

  17. http://weber.ucsd.edu/~jmoore/courses/allometry/allometry.html

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Llarena, A. (2010). Here Comes the Robotic Brain !. In: Vadakkepat, P., et al. Trends in Intelligent Robotics. FIRA 2010. Communications in Computer and Information Science, vol 103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15810-0_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-15810-0_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15809-4

  • Online ISBN: 978-3-642-15810-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics