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MM-ulator: Towards a Common Evaluation Platform for Mixed Mode Environments (2008)
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BibTeX
@MISC{Kropff08mm-ulator:towards,
author = {Matthias Kropff and Christian Reinl and Kim Listmann and Karen Petersen and Faisal Karim Shaikh and Arthur Herzog and Armin Strobel and Daniel Jacobi and Oskar von Stryk and et al.},
title = {MM-ulator: Towards a Common Evaluation Platform for Mixed Mode Environments},
year = {2008}
}
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Abstract
We investigate the interaction of mobile robots, relying on information provided by heterogeneous sensor nodes, to accomplish a mission. Cooperative, adaptive and responsive monitoring in Mixed-Mode Environments (MMEs) raises the need for multi-disciplinary research initiatives. To date, such research initiatives are limited since each discipline focusses on its domain specific simulation or testbed environment. Existing evaluation environments do not respect the interdependencies occurring in MMEs. As a consequence, holistic validation for development, debugging, and performance analysis requires an evaluation tool incorporating multi-disciplinary demands. In the context of MMEs, we discuss existing solutions and highlight the synergetic benefits of a common evaluation tool. Based on this analysis we present the concept of the MM-ulator: a novel architecture for an evaluation tool incorporating the necessary diversity for multi-agent hard-/software-in-the-loop simulation in a modular and scalable way.
Keyphrases
mixed mode environment common evaluation platform evaluation tool common evaluation tool multi-disciplinary research initiative holistic validation novel architecture mobile robot multi-agent hard software-in-the-loop simulation research initiative heterogeneous sensor node necessary diversity performance analysis mixed-mode environment evaluation environment scalable way responsive monitoring domain specific simulation synergetic benefit multi-disciplinary demand
