Simulation and Evaluation of Mixed-Mode Environments: Towards Higher Quality of Simulations
Key: SCR+10-1
Author: Vinay Sachidananda, Diego Costantini, Christian Reinl, Dominik Haumann, Karen Petersen, Parag Mogre, Abdelmajid Khelil
Date: November 2010
Kind: In proceedings
Publisher: Springer
Book title: Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR 2010)
Keywords: simulator, qoi
Abstract: For rescue and surveillance scenarios, the Mixed-Mode Environments (MMEs) for data acquisition, processing, and dissemination have been proposed. In MMEs, robots usually rely on information provided by surrounding heterogeneous sensor nodes to cooperatively accomplish a mission. Simulations present strong advantages such as reduced costs, safety, etc. Due to lack of realistic MMEs testbeds, simulation platforms are usually employed to evaluate the interaction between robots, sensor nodes and other autonomous vehicles in general . However, the existing simulators are not able to fully support the evaluation of complex scenarios in MMEs. In addition, for existing collaborative simulation platforms, the Quality of Simulations (QoSim) is not systematically considered yet. The concepts of QoSim are in particular accuracy, validity, certainty, and acceptability. The focus of this paper is to understand the gap between real-world experiments and simulations for MMEs. The paper presents QoSim concepts and characteristics on MMEs simulations, describing the aspects of contents of simulation, processing of simulation, and simulation results/outputs. To this end, we brief the level of abstraction of the simulations and propose a road map for the improvement of existing simulators.
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