Andy Tinkham
Ronaldo Menezes
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.
- 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.Google Scholar
- E. Bonabeau, M. Dorigo, and G. Theraulaz. Swarm Intelligence: From Natural to Artificial Systems. Oxford Press, 1999. Google ScholarDigital Library
- Thomas W. Malone and Kevin Crowston. The interdisciplinary study of coordination. ACM Computing Surveys, 26(1), March 1994. Google ScholarDigital Library
- 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.Google ScholarCross Ref
- MIT Media Laboratory. Starlogo website. http://education.mit.edu/starlogo/.Google Scholar
- 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.Google Scholar
Index Terms
- Simulating robot collective behavior using StarLogo
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