Simulation Platform for the Evaluation of Robotic Swarm Algorithms

One major problem in the development of robotic swarms is the slow process of testing. Testing different algorithms or variations of a single one using physical robots requires reprogramming every robot in the swarm before every run. Hence, the speed at which a robotic swarm can be tested is highly...

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Bibliographic Details
Main Authors: Ortega-Sanchez, Cesar, Hamer, M.
Other Authors: Hiroaki Nishino
Format: Conference Paper
Published: IEEE 2010
Subjects:
Online Access:http://hdl.handle.net/20.500.11937/5394
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author Ortega-Sanchez, Cesar
Hamer, M.
author2 Hiroaki Nishino
author_facet Hiroaki Nishino
Ortega-Sanchez, Cesar
Hamer, M.
author_sort Ortega-Sanchez, Cesar
building Curtin Institutional Repository
collection Online Access
description One major problem in the development of robotic swarms is the slow process of testing. Testing different algorithms or variations of a single one using physical robots requires reprogramming every robot in the swarm before every run. Hence, the speed at which a robotic swarm can be tested is highly dependent on the time taken to reprogram the entire swarm and the physical speed at which the swarm operates. This paper details the development of a computer-based simulation platform for rapid development and testing of swarm-intelligence algorithms in an effort to mitigate the current bottleneck imposed by testing. The simulator uses an object-oriented programming environment to facilitate the implementation and modification of swarm algorithms. Simulation of food foraging in an ant-hill scenario is used to demonstrate the effectiveness of the simulator.
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spelling curtin-20.500.11937-53942017-09-13T16:02:18Z Simulation Platform for the Evaluation of Robotic Swarm Algorithms Ortega-Sanchez, Cesar Hamer, M. Hiroaki Nishino simulation tool robotics Swarm intelligence One major problem in the development of robotic swarms is the slow process of testing. Testing different algorithms or variations of a single one using physical robots requires reprogramming every robot in the swarm before every run. Hence, the speed at which a robotic swarm can be tested is highly dependent on the time taken to reprogram the entire swarm and the physical speed at which the swarm operates. This paper details the development of a computer-based simulation platform for rapid development and testing of swarm-intelligence algorithms in an effort to mitigate the current bottleneck imposed by testing. The simulator uses an object-oriented programming environment to facilitate the implementation and modification of swarm algorithms. Simulation of food foraging in an ant-hill scenario is used to demonstrate the effectiveness of the simulator. 2010 Conference Paper http://hdl.handle.net/20.500.11937/5394 10.1109/TENCON.2010.5686044 IEEE fulltext
spellingShingle simulation tool
robotics
Swarm intelligence
Ortega-Sanchez, Cesar
Hamer, M.
Simulation Platform for the Evaluation of Robotic Swarm Algorithms
title Simulation Platform for the Evaluation of Robotic Swarm Algorithms
title_full Simulation Platform for the Evaluation of Robotic Swarm Algorithms
title_fullStr Simulation Platform for the Evaluation of Robotic Swarm Algorithms
title_full_unstemmed Simulation Platform for the Evaluation of Robotic Swarm Algorithms
title_short Simulation Platform for the Evaluation of Robotic Swarm Algorithms
title_sort simulation platform for the evaluation of robotic swarm algorithms
topic simulation tool
robotics
Swarm intelligence
url http://hdl.handle.net/20.500.11937/5394