Abstract
Robot programs generated by a human or by an automatic planner, must execute in a real environment which differs slightly from the model used at programming time. Thus we need to represent this uncertainty. This representation can be used at programming time to directly produce a valid program, or to verify the validity of a program afterwards.
In this paper, two methods were developped to represent uncertainties in robotics. Both methods have been implemented: one at LIFIA (Grenoble France), the other at LAAS (Toulouse France).
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© 1989 Springer-Verlag Berlin Heidelberg
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Mazon, I. (1989). Modelling positioning uncertainties. In: Boissonnat, J.D., Laumond, J.P. (eds) Geometry and Robotics. GeoRob 1988. Lecture Notes in Computer Science, vol 391. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-51683-2_38
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DOI: https://doi.org/10.1007/3-540-51683-2_38
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