Skip to main content
SpringerLink
Log in

Adaptive Spring Systems for Shape Programming

  • Conference paper
Artifical Intelligence and Soft Computing (ICAISC 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6114))

Included in the following conference series:

Abstract

We develop a learning algorithm for complex spring networks, aimed at adjusting their physical parameters so as to ensure a desired mechanical behaviour in response to physical input (control) stimuli. The algorithm is based on the gradient descent paradigm and has been tested on our computer implementation. The systems output by our software conform to real-world physics and thus are also suitable for hardware implementation.

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

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
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. Connelly, R., Whiteley, W.: Second-Order Rigidity and Prestress Stability for Tensegrity Frameworks. SIAM Journal of Discrete Mathematics 9, 453–491 (1996)

    Article  MATH  MathSciNet  Google Scholar 

  2. Connelly, R.: Rigidity and energy. Inventiones Mathematicae 66, 11–33 (1982)

    Article  MATH  MathSciNet  Google Scholar 

  3. Gusev, A.A.: Finite Element Mapping for Spring Network Representations of the Mechanics of Solids. Phys. Rev. Lett. 93, 034302 (2004)

    Article  Google Scholar 

  4. Jagota, A., Bennison, S.J.: Spring–Network and Finite–Element Models for Elasticity and Fracture. In: Bardhan, K.K., Chakrabarti, B.K., Hansen, A. (eds.) Proceedings of a Workshop on Breakdown and Non-Linearity in Soft Condensed Matter. Lecture Notes in Physics. Springer, Heidelberg (1994); conference held at the Saha Institute for Nuclear Physics, Calcutta, India, December 1-9 (1993), pp. 186–201, vol. 437. Springer, Heidelberg (1994)

    Google Scholar 

  5. Kanellos, A.: Topological Self-Organisation: Using a particle-spring system simulation to generate structural space-filling lattices. Masters thesis, UCL (University College London) (2007)

    Google Scholar 

  6. Kellomäki, M., Aström, J., Timonen, J.: Rigidity and Dynamics of Random Spring Networks. Phys. Rev. Lett. 77, 2730 (1996)

    Article  Google Scholar 

  7. Kidwell, P.A., Williams, M.R.: The Calculating Machines: Their history and development. Massachusetts Institute of Technology and Tomash Publishers, USA (1992); Translated and edited from Martin, E.: Die Rechenmaschinen und ihre Entwicklungsgeschichte. Pappenheim, Germany (1925)

    Google Scholar 

  8. Kilian, A., Ochsendorf, J.: Particle–Spring Systems for Structural Form Finding. Journal of the International Association for Shell and Spatial Structures: IASS 46 (2005)

    Google Scholar 

  9. Olfati-Saber, R., Murray, R.M.: Graph Rigidity and Distributed Formation Stabilization of Multi-Vehicle Systems. In: Proc. of the 41st IEEE Conf. on Decision and Control, Las Vegas, Nevada, (2002)

    Google Scholar 

  10. Ostoja–Starzewski, M.: Lattice Models in Micromechanics. Appl. Mech. Rev. 55, 35–60 (2002)

    Article  Google Scholar 

  11. http://digitalmars.com/d/

Download references

Author information

Authors and Affiliations

  1. Faculty of Mathematics and Computer Science, Nicolaus Copernicus University, Toruń, Poland

    Maja Czoków & Tomasz Schreiber

Authors
  1. Maja Czoków
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Tomasz Schreiber
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. Academy of Humanities and Economics in Łódź, ul. Rewolucji 1905 nr 64, Łódź, Poland

    Rafał Scherer

  3. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Berkeley Initiative in Soft Computing (BISC), 94720-1776, CA

    Lotfi A. Zadeh

  5. Computational Intelligence Laboratory Department of Electrical and Computer Engineering, University of Louisville, 40292, Louisville, KY

    Jacek M. Zurada

Rights and permissions

Reprints and permissions

Copyright information

© 2010 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Czoków, M., Schreiber, T. (2010). Adaptive Spring Systems for Shape Programming. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artifical Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6114. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13232-2_51

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-13232-2_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-13231-5

  • Online ISBN: 978-3-642-13232-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation