Abstract
Most solutions to complex robotic challenges require many levels of computational processes to work in harmony across heterogeneous targets. These processes can be as basic as generating a pulse-width modulated (PWM) signal, or as sophisticated as task planning. The solution’s implementation may also not be fully understood at the beginning of development, which begs for a robot operating system that allows for flexible and interactive development at all levels of the solution. We used LabVIEW as a robot operating system and programming language to address these challenges in solving a multi-robot search and rescue application.
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Muecke, K., Powell, B. (2011). A Distributed, Heterogeneous, Target-Optimized Operating System for a Multi-robot Search and Rescue Application. In: Mehrotra, K.G., Mohan, C.K., Oh, J.C., Varshney, P.K., Ali, M. (eds) Modern Approaches in Applied Intelligence. IEA/AIE 2011. Lecture Notes in Computer Science(), vol 6704. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21827-9_27
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DOI: https://doi.org/10.1007/978-3-642-21827-9_27
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