Abstract
A critical problem in the deployment of commercial teleoperated robots is the development of effective training tools and methodologies. This paper describes our approach to the problem of providing such training to robot operators tasked to contaminated environments. The Vanguard MK2 and C2SMFast Sensor Simulator – a virtual reality based training system – provides an accurate simulation of the C2SM Crime Scene Modeler, an autonomous robotic system developed for the investigation of contaminated crime scenes. The training system provides a simulation of the underlying robotic platform and the C2SMFast sensor suite, and allows training on the system without physically deploying the robot or CBRNE contaminants. Here we describe the basic structure of the simulator and the software components that were used to construct it.
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Codd-Downey, R., Jenkin, M., Ansell, M., Ng, H.K., Jasiobedzki, P. (2010). Simulating the C2SM ‘Fast’ Robot. In: Ando, N., Balakirsky, S., Hemker, T., Reggiani, M., von Stryk, O. (eds) Simulation, Modeling, and Programming for Autonomous Robots. SIMPAR 2010. Lecture Notes in Computer Science(), vol 6472. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-17319-6_6
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DOI: https://doi.org/10.1007/978-3-642-17319-6_6
Publisher Name: Springer, Berlin, Heidelberg
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