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Model continuity to support software development for distributed robotic systems: A team formation example

delete2004-01-01
delete18
PRE
AI
X
Xiaolin Hu
B
Bernard P. Zeigler
DOI:10.1023/B:JINT.0000010805.84283.b6delete
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Abstract

Abstract

En 中文
Modeling, design and testing of the software underlying distributed robotic systems is a challenging task, especially when a large number of mobile robots and task coordination are involved. Model continuity, the ability to use the same model of a system throughout its design phases, provides an effective way to manage this development complexity and maintain consistency of the software. In this paper, we describe the design and implementation of a team-formation multi-robot system. This is used as an example to demonstrate how a modeling and simulation environment, based on the DEVS formalism, can support model continuity in the design of distributed robotic systems. This example shows how the intelligent control models of the robots are first designed and tested via simulation and, when verified mapped to physical robots with DEVS-on-a-chip brains for execution.
Keywords:
distributed robotic system
team formation
modeling and simulation
model continuity
scalability
DEVS
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Journal

J
JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
IF:
2.8
Papers:
3.8K
Citations:
6.9K

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