Dergiler / Turkish Journal of Electrical Engineering and Computer Science / 2007 / Cilt: 15 - Sayı: 2

Modelling a Deposition Process in Collective Construction

Sayfa
227–255
Yayın Tarihi
2007-02-01
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

The theoretical models are verified with practical trials performed by physical robots.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:During collective construction tasks, swarm robots coordinate their actions in space and time to build structures that conform to some given design or specification.
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Temel Bulgular & Veri:In this paper, a simulation model and a mathematical model (based on a Markov chain) are introduced to describe the deposition process of a previously detailed robotic swarm system that uses templates and feedback to facilitate construction.
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Sonuç & Katkı:The theoretical models are verified with practical trials performed by physical robots.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Turk. J. Elec. Eng. & Comp. Sci. · (2007) · 227-255. Full text: pdf Other articles published in the same issue: Turk. J. Elec. Eng. & Comp. Sci.

Özet

During collective construction tasks, swarm robots coordinate their actions in space and time to build structures that conform to some given design or specification. In this paper, a simulation model and a mathematical model (based on a Markov chain) are introduced to describe the deposition process of a previously detailed robotic swarm system that uses templates and feedback to facilitate construction. The models are based on the behaviour and geometry of real robots and predict the dynamics observed during practical trials as well as explaining the occurrence of different spatial patterns of building blocks. Furthermore, the models provide an insight into the swarm system and a solid basis for understanding the feedback mechanism that is fundamental to its operation. The theoretical models are verified with practical trials performed by physical robots.

Abstract

During collective construction tasks, swarm robots coordinate their actions in space and time to build structures that conform to some given design or specification. In this paper, a simulation model and a mathematical model (based on a Markov chain) are introduced to describe the deposition process of a previously detailed robotic swarm system that uses templates and feedback to facilitate construction. The models are based on the behaviour and geometry of real robots and predict the dynamics observed during practical trials as well as explaining the occurrence of different spatial patterns of building blocks. Furthermore, the models provide an insight into the swarm system and a solid basis for understanding the feedback mechanism that is fundamental to its operation. The theoretical models are verified with practical trials performed by physical robots.

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Bu Makaleye Atıf Yap

STEWART, R. L., KLEEMAN, R. A. R. A. L. (2007). Modelling a Deposition Process in Collective Construction. Turkish Journal of Electrical Engineering and Computer Science, Cilt: 15 - Sayı: 2, 227–255. https://ajindex.com/articles/188982

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Kaynakça (15)

  1. W. M. Wheeler, The Social Insects: Their Origin and Evolution, London, Kegan Paul, Trench, Trubner and Co., Ltd., 1928.
  2. E. O. Wilson, Insect Societies, Cambridge, MA, The Belknap Press of Harvard University Press, 1974.
  3. E. Bonabeau, M. Dorigo, G. Theraulaz, Swarm Intelligence: From Natural to ArtiŞcial Systems, NY, Oxford University Press, 1999.
  4. M. Dorigo, E. S¸ahin, “Guest editorial,” Autonomous Robots, Vol. 17, pp. 111–113, 2004.
  5. R. L. Stewart, Construction with a Swarm of Minimalist Robots using Templates and Feedback, PhD thesis, Monash University, 2006.
  6. A. J. Ijspeert, A. Martinoli, A. Billard, L. M. Gambardella, “Collaboration through the exploitation of local interactions in autonomous collective robotics: the stick pulling experiment,” Autonomous Robots, Vol. 11, pp. 149–171, 2001.
  7. A. Martinoli, A. J. Ijspeert, F. Mondada, “Understanding collective aggregation mechanisms: From probabilistic modelling to experiments with real robots,” Robotics and Autonomous Systems, Vol. 29, pp. 51–63, 1999.
  8. A. Martinoli, A. J. Ijspeert, L. M. Gambardella, “A probabilistic model for understanding and comparing collective aggregation mechanisms,” in D. Floreano, J.-D. Nicoud, F. Mondada, eds., Advances in ArtiŞcial Life: 5th European Conference, ECAL99, Lausanne, Switzerland, September 13-17, 1999.
  9. Proceedings, Vol. 1674 of Lecture Notes in ArtiŞcial Intelligence (Subseries of Lecture Notes in Computer Science), pp. 575–584,
  10. NY, Springer-Verlag, 1999.
  11. C. A. C. Parker, H. Zhang, C. Ronald Kube, “Blind bulldozing: Multiple robot nest construction,” in Proc. of the 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS’03), pp. 2010–2015,
  12. W. M. Spears, D. F. Spears, J. C. Hamann, R. Heil, “Distributed, physics-based control of swarms of vehicles,” Autonomous Robots, Vol. 17, pp. 137–162, 2004.
  13. G. Theraulaz, E. Bonabeau, “Modelling the collective building of complex architectures in social insects with lattice swarms,” Journal of Theoretical Biology, Vol. 177, pp. 381–400, 1995.
  14. C. Melhuish, J. Welsby, C. Edwards, “Using templates for defensive wall building with autonomous mobile ant-like robots,” in Proc. of Towards Intelligent Mobile Robots (TIMR’99), 1999.
  15. J. Wawerla, G. S. Sukhatme, M. J. Matari´c, “Collective construction with multiple robots,” in Proc. of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS’02), pp. 2696–2701, 2002. J. K. Werfel, “Building blocks for multi-robot construction,” in Proc. of the 7th I