An Euclidean norm based criterion to assess robots' 2D path-following performance

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Eleonora Saggini, Maria-Laura Torrente


A current need in the robotics field is the definition of methodologies for quantitatively evaluating the results of experiments. This paper contributes to this by defining a new criterion for assessing path-following tasks in the planar case, that is, evaluating the performance of robots that are required to follow a desired reference path. Such criterion comes from the study of the local dierential geometry of the problem. New conditions for deciding whether or not the zerolocus of a given polynomial intersects the neighbourhood of a point are defined. Based on this, new algorithms are presented and tested on both simulated data and experiments conducted at sea employing an Unmanned Surface Vehicle.

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