Abstract
In this study, the implementation of a previously proposed robotic replanning framework is presented. The proposed framework integrates a high level replanning paradigm into a three layer robotic architecture. There has been a great deal of studies on managing unexpected events at lower two levels of three layer architectures but doing replanning at highest level still needs investigation. Supporting replanning with real-time vision feedback from working environment and integrating a learning mechanism as a basis increases the success ratio.
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Yildirim, S., Tunali, T. (2002). The Implementation of a Robotic Replanning Framework. In: Yakhno, T. (eds) Advances in Information Systems. ADVIS 2002. Lecture Notes in Computer Science, vol 2457. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36077-8_19
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DOI: https://doi.org/10.1007/3-540-36077-8_19
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