Skip to main content

Robot Colony Mobility in a Thermodynamics Frame

  • Conference paper
Intelligent Autonomous Systems 12

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 194))

Abstract

In the last decade the development of multirobot systems has come to maturation providing a lot of important results in many applicative domains. Many paradigms and approaches have been devised to this aim but one of them seems very promising for future applications: dense colony of robots where the large numbers of individuals is combined with a very small dimension for each of them. Here, the key point is a behavior-based paradigm embedded in the mobiligence framework as it appears particularly suitable to deal with the sensing activity where the physics of the interaction is made explicit to take advantage from it. Within this point of view the paper explores a design method to deal with sensor information which, avoiding any symbolic representation, is maintained at a somewhat physical level as a metaphor of the events observed in the environment. The idea of substratum is introduced as a convenient representation of the physical level currently in use. The key properties of the thermal metaphor are considered and implemented to trigger appropriately a colony of robots to execute a collective task. The temperature distribution, heat flux, diffusivity and dispersion are all discussed as different aspects of the stigmergy included as a key feature of the swarm which forces each individual to behave collectively.

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 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
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. Arkin, R.: Behavior-Based Robotics. The MIT Press (1998)

    Google Scholar 

  2. Asama, H., Yano, M., Tsuchiya, K., Ito, K., Yuasa, H., Ota, J., Ishiguro, A., Kondo, T.: System principle on emergence of mobiligence and its engineering realization. In: IROS 2003, Las Vegas, NV, pp. 1715–1720 (2003)

    Google Scholar 

  3. D’Angelo, A., Funato, T., Pagello, E.: Motion control of dense robot colony using thermodynamics. In: DARS 2008, pp. 85–96. Springer, Tsukuba (2008)

    Google Scholar 

  4. D’Angelo, A., Ota, J., Pagello, E.: How intelligent behavior can emerge from a group of roboticles moving around. In: IROS 2003, Las Vegas, NV, pp. 1733–1738 (2003)

    Google Scholar 

  5. D’Angelo, A., Pagello, E.: Making collective behaviours to work through implicit communication. In: Casals, A., Dillmann, R., Giralt, G. (eds.) ICRA 2005, Barcelona, pp. 81–87 (2005)

    Google Scholar 

  6. D’Angelo, A., Pagello, E.: From mobility to autopoiesis: acquiring environmental information to deliver commands to the effectors. In: IAS 2009, pp. 640–647. IOS Press, Tokyo (2006)

    Google Scholar 

  7. D’Angelo, A., Pagello, E.: A thermodynamic framework for robot colony control. In: IAS 2011, pp. 259–270. IOS Press, Ottawa (2010)

    Google Scholar 

  8. D’Angelo, A., Pagello, E., Yuasa, H.: Issues on autonomous agents from a roboticle perspective. Journal of Intelligent and Robotic Systems, 389–416 (2008)

    Google Scholar 

  9. Kohonen, T.: Self-Organizing Maps, Information Sciences, vol. 30. Springer (2001)

    Google Scholar 

  10. Latombe, J.C.: Robot Motion Planning. Springer (1991)

    Google Scholar 

  11. Kinoshita, M., Watanabe, M., Kawakami, T., Yokoi, H., Kakazu, Y.: Macroscopic quantitative observation of multi-robot behavior. In: Computational Intelligence and Multimedia Applications, Yokosuka, Japan, pp. 190–194 (2001)

    Google Scholar 

  12. Pisokas, J., Nehmzow, U.: Subsymbolic action planning for robots: Generalised representations of experience. In: Groen, F., Amato, N., Bonarini, A., Yoshida, E., Krose, B. (ed.) 8th Conference on Intelligent Autonomous Systems, pp. 666–673. IOS Press (2004)

    Google Scholar 

  13. Jantz, S.D., Doty, K.L., Bagnell, J.A., Zapata, I.R.: Kinetics of robotics: The development of universal metrics in robotic swarms. In: Florida Conference on Recent Advances in Robotics, Miami, USA (1997)

    Google Scholar 

  14. Weser, M., Jockel, S., Zhang, J.: Fuzzy multisensor fusion for autonomous proactive robot perception. In: IEEE International Conference on Fuzzy Systems, pp. 2262–2267 (2008)

    Google Scholar 

  15. Kerr, W., Spears, D., Spears, W., Thayer, D.: Two Formal Gas Models for Multi-agent Sweeping and Obstacle Avoidance. In: Hinchey, M.G., Rash, J.L., Truszkowski, W.F., Rouff, C.A. (eds.) FAABS 2004. LNCS (LNAI), vol. 3228, pp. 111–130. Springer, Heidelberg (2004)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Antonio D’Angelo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

D’Angelo, A., Pagello, E. (2013). Robot Colony Mobility in a Thermodynamics Frame. In: Lee, S., Cho, H., Yoon, KJ., Lee, J. (eds) Intelligent Autonomous Systems 12. Advances in Intelligent Systems and Computing, vol 194. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33932-5_42

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-33932-5_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-33931-8

  • Online ISBN: 978-3-642-33932-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics