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Simulating robot collective behavior using StarLogo

Published: 02 April 2004 Publication History

Abstract

Robot simulation is a very important tool to the development of novel real-world techniques for cooperation of teams of robots. One major difficulty when trying to introduce students to robotics is that the teaching of major abstractions used to coordinate group robot behavior is not easily visualized -- it is not always true that one has enough robots available to be used in real demonstrations. In this paper, we attempt to improve the situation above by implementing a robot simulator for 5 (five) of the major abstractions used in robotics. This simulator concentrates on group coordination in a scenario where robots are required to find their way out of a room or maze. This paper describes our initial version of this simulator, as well as our future plans for the simulator, both in usage and in enhancement of the feature set.

References

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P. Bakker and Y. Kuniyoshi. Robot see, robot do: An overview of robot imitation. In Proceedings of the AISB96 Workshop: Learning in Robots and Animals, 1996.
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E. Bonabeau, M. Dorigo, and G. Theraulaz. Swarm Intelligence: From Natural to Artificial Systems. Oxford Press, 1999.
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Thomas W. Malone and Kevin Crowston. The interdisciplinary study of coordination. ACM Computing Surveys, 26(1), March 1994.
[4]
A. Martinoli and K. Easton. Modeling swarm robotic systems. In B. Siciliano and P. Dario, editors, Proc. of the Eight Int. Symp. on Experimental Robotics ISER-02, Springer Tracts in Advanced Robotics, pages 297--306. Springer-Verlag, July 2003.
[5]
MIT Media Laboratory. Starlogo website. http://education.mit.edu/starlogo/.
[6]
G. C. Pettinaro, I. W. Kwee, L. M. Gambardella, F. Mondada, D. Floreano, S. Nolfi, J.-L. Deneubourg, and M. Dorigo. Swarm robotics: A different approach to service robotics. In Proceedings of the 33rd International Symposium on Robotics, Stockholm, Sweden, October 7--11 2002. International Federation of Robotics.

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Published In

cover image ACM Conferences
ACMSE '04: Proceedings of the 42nd annual ACM Southeast Conference
April 2004
485 pages
ISBN:1581138709
DOI:10.1145/986537
  • General Chair:
  • Seong-Moo Yoo,
  • Program Chair:
  • Letha Hughes Etzkorn
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 April 2004

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Author Tags

  1. StarLogo
  2. broadcast coordination
  3. contact coordination
  4. learning by imitation
  5. random coordination
  6. robots
  7. shared map coordination
  8. stigmergy coordination
  9. swarm intelligence

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ACM SE04
Sponsor:
ACM SE04: ACM Southeast Regional Conference 2004
April 2 - 3, 2004
Alabama, Huntsville

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Overall Acceptance Rate 502 of 1,023 submissions, 49%

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