MM-ulator: Towards a Common Evaluation Platform for Mixed Mode Environments

Autor:	Kim D. Listmann, Katayon Radkhah, Karen Petersen, Matthias Kropff, Armin Strobel, Oskar von Stryk, Daniel Jacobi, Faisal Karim Shaikh, Arthur Herzog, Christian Reinl
Rok vydání:	2008
Předmět:	business.industry Computer science media_common.quotation_subject Testbed Real-time computing Context (language use) Mobile robot Modular design Domain (software engineering) Debugging Scalability Systems engineering business Wireless sensor network media_common
Zdroj:	Simulation, Modeling, and Programming for Autonomous Robots ISBN: 9783540890751 SIMPAR
DOI:	10.1007/978-3-540-89076-8_8
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fcc8d9334dde88b0f61703f90b3ea13f https://doi.org/10.1007/978-3-540-89076-8_8 Zobrazit plný text záznamu