Abstract
Intelligent robots are systems which process on-line a vast volume of information consisting of both the data and knowledge. The data gathered by sensors are processed making use of knowledge incorporated in the software modules. To explore both the data and knowledge requires to integrate both of them on appropriate levels. As different the data usually represent the same part of the world, it is obvious to speak about data fusion than integration. On the other hand, the software modules are usually highly specialized and complementary to each other. Solving the problems of relevant data fusion and systematic software integration seems to be a crutial aspect of the robot design tasks. The paper describes core ideas and principles used for software and system integration in the GLbot (the Gerstner Laboratory Robot) experimental platform, were the multi-agent approach has proved to be the very efficient one.
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Přeučil, L., Mařík, V. (2000). System Integration Techniques in Robotics. In: Kopacek, P., Moreno-Díaz, R., Pichler, F. (eds) Computer Aided Systems Theory - EUROCAST’99. EUROCAST 1999. Lecture Notes in Computer Science, vol 1798. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10720123_18
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DOI: https://doi.org/10.1007/10720123_18
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