Skip to main content

Toward the Concept of Robot Society: A Multi-Robot SLAM Case Study

  • Conference paper
  • First Online:
Mathematical Methods in Engineering

Abstract

Over time, biological societies such as humans, ants or bees have shown us the advantages inherent to the collective work. It is based on such results that many researchers have been trying to successfully develop new approaches in Multi-Robot Systems. Nevertheless, several assumptions need to be assured for collective work to emerge. In this paper, it is presented the significance and the advantages of cooperation in the different societies bridging the gap to the concept of robot society. In order to compare the advantages of cooperative robots, it is considered essential the development of computational simulation based on the robotic cooperation in unstructured environments. Hence, a Multi-Robot Simultaneous Localization and Mapping (SLAM) using Rao-Blackwellized particle filter is implemented in a simulation environment developed in the Player/ Stage platform for robot and sensor applications.

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 84.99
Price excludes VAT (USA)
  • Available as EPUB and 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
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Halme A, Jakubik P, Schönberg T, Vainio M (1993) The concept of robot society and its utilization. In: Proceedings of IEEE international workshop on advanced robotics, Espoo, Finland

    Google Scholar 

  2. Ferreira NMF (2006) Sistemas Dinâmicos e Controlo de Robôs Cooperantes. The Phd thesis (in 5 of September) University of Trás-os-Montes e Alto Douro

    Google Scholar 

  3. Fukuda T, Nakagawa S, Kawauchi Y, Buss M (1989) Structure decision method for self organizing robots based on cell structures—CEBOT. In: Proceedings of IEEE international conference on robotics and automation, pp 695–700, Scottsdale, AZ

    Google Scholar 

  4. Rocha R (2006) Building volumetric maps with cooperative mobile robots and useful information sharing: a distributed control approach based on entropy. PhD thesis, Faculty of Engineering of University of Porto, Portugal, May 2006

    Google Scholar 

  5. Howard, A (2006) Multi-robot SL, mapping using particle filters. Int J Robot Res 25(12):1243–1256

    Article  Google Scholar 

  6. Darwin, C (1872) The origin of species by means of natural selection, or the preservation of favoured races in the struggle for life. John Murray, London

    Google Scholar 

  7. Foster KR, Xavier JB (2007) Cooperation: bridging ecology and sociobiology. Curr Biol 17:R319–R321

    Article  Google Scholar 

  8. Dean, M (1913) Book of Proverbs. Catholic encyclopedia. Adapted from Holman Bible Handbook on Proverbs

    Google Scholar 

  9. Aras R, Dutech A, Charpillet F (2004) Stigmergy in multi agent reinforcement learning. Loria, Inst. Nat de Recherche en Inf et Autom, Nancy

    Google Scholar 

  10. Dorigo, M, Stützle T (2004) Ant colony optimization. MIT Press, Cambridge

    Book  MATH  Google Scholar 

  11. Wilson M, Melhuish C, Sendova-Franks A, Scholes S (2004) Algorithms for building annular structures with minimalist robots inspired by brood sorting in ant colonies. Auton Robot 17(2–3):115–136

    Article  Google Scholar 

  12. Kennedy J, Eberhart R (1995) A new optimizer using particle swarm theory. In: Proceedings of the IEEE sixth international symposium on micro machine and human science, pp 39–43, Nagoya

    Google Scholar 

  13. Tang J, Zhu J, Sun Z (2005) A novel path planning approach based on AppART and particle swarm optimization. Advances in Neural Networks–ISNN 2005. Springer Berlin Heidelberg, pp 253–258

    Google Scholar 

  14. Pires EJS, Oliveira PBM, Machado JAT, Cunha JB (2006) Particle swarm optimization versus genetic algorithm in manipulator trajectory planning. In: 7th Portuguese conference on automatic contol, Instituto Superior Técnico, Lisbon, Portugal, 11–13 Sept 2006

    Google Scholar 

  15. Couceiro MS, Mendes R, Ferreira NMF, Machado JAT (2009) Control optimization of a robotic bird. EWOMS ’09, Lisbon, Portugal, 4–6 June, 2009

    Google Scholar 

  16. Alrashidi MR, El-Hawary MEA (2006) Survey of particle swarm optimization applications in power system operations. Electric Power Compon Syst 34(12):1349–1357

    Article  Google Scholar 

  17. Martinez JR, Merino L, Caballero F, Ollero A, Viegas DX (2006) Experimental results of automatic fire detection and monitoring with UAVs. For Ecol Manage 234:232

    Google Scholar 

  18. Couceiro MS, Figueiredo CM, Ferreira NMF, Machado JAT (2009) Biological inspired flying robot. In: Proceedings of IDETC/CIE 2009 ASME 2009 international design engineering technical conferences & computers and information in engineering conference, San Diego, 30 Aug–2 Sept 2009

    Google Scholar 

  19. Borghoff UM, Schlighter JH (2000) Computer-supported cooperative work: introduction to distributed applications. Springer, USA

    Book  Google Scholar 

  20. Fuks H, Raposo AB, Gerosa MA, Lucena CJPO (2003) Modelo de Colaboração 3C e a Engenharia de Groupware. Pontifícia Universidade Católica, Rio de Janeiro (PUC-Rio)

    Google Scholar 

  21. Cao Y, Fukunaga A, Kahng A (1997) Cooperative mobile robotics: antecedents and directions. Auton Robot 4:1–23

    Article  Google Scholar 

  22. Jung, D (1998) An architecture for cooperation among autonomous agents. PhD thesis, Department of Computer Science, University of Wollongong, Australia

    Google Scholar 

  23. Smith R, Self M, Cheeseman P (1990) Estimating uncertain spatial relationships in robotics. In: Ingemar JC, Gordon TW (eds) Autonomous robot vehicles. Springer, New York, pp 167–193

    Google Scholar 

  24. Dissanayake M, Newman P, Clark S, Durrant-Whyte H, Csorba M (2001) A solution to the simultaneous localization and map building (SLAM) problem. IEEE Trans Robot Autom, 17(3):229–241

    Article  Google Scholar 

  25. Thrun S, Dirk H, David F, Montemerlo D, Rudolph T, Wolfram B, Christopher B, Zachary O, Scott T, William W (2003) A system for volumetric robotic mapping of abandoned mines. Robotics and Automation, 2003. Proceedings. ICRA’03. IEEE International Conference on, vol. 3, pp. 4270–4275. IEEE

    Google Scholar 

  26. Thrun S, Dirk H, David F, Montemerlo D, Rudolph T, Wolfram B, Christopher B, Zachary O, Scott T,WilliamW (2003) A system for volumetric robotic mapping of abandoned mines. Robotics and Automation, 2003. Proceedings. ICRA’03. IEEE International Conference on ,vol. 3, pp. 4270–4275. IEEE

    Google Scholar 

  27. Stachniss C, Hahnel D, Burgard W (2004) Exploration with active loop-closing for FastSLAM. In: Proceedings of IEEE/RSJ international conference on intelligent robots and systems, Department of Computer Science, Freiburg University, Germany

    Google Scholar 

  28. Stachniss C, Grisetti G, Burgard W (2005) Recovering particle diversity in a Rao-Blackwellized particle filter for SLAM after actively closing loops. In: Proceedings of IEEE international conference on robotics and automation, Freiburg, Germany

    Google Scholar 

  29. Hahnel D, Burgard W, Fox D (2003) An efficient FastSLAM algorithm for generating maps of large-scale cyclic environments from raw laser range measurements. In: IEEE/RSJ international conference on intelligent robots and systems, Las Vegas, Nevada, USA, Oct 2003

    Google Scholar 

  30. Thrun S, Fox D, Burgard W (2001) Robust Monte Carlo localization for mobile robots. Artif Intell J 128(1–2):99–141

    Article  MATH  Google Scholar 

Download references

Acknowledgement

This work was supported by a PhD scholarship (SFRH/BD/73382/2010) granted by the Portuguese Foundation for Science and Technology (FCT), the Institute of Systems and Robotics (ISR) and RoboCorp.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Micael S. Couceiro .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer Science+Business Media Dordrecht

About this paper

Cite this paper

Couceiro, M., Lopes, A., Ferreira, N., Ferreira, A., Rocha, R. (2014). Toward the Concept of Robot Society: A Multi-Robot SLAM Case Study. In: Fonseca Ferreira, N., Tenreiro Machado, J. (eds) Mathematical Methods in Engineering. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-7183-3_6

Download citation

  • DOI: https://doi.org/10.1007/978-94-007-7183-3_6

  • Published:

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-007-7182-6

  • Online ISBN: 978-94-007-7183-3

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics