Off-line robot dynamic identification methods are mostly based on the use of the inverse dynamic model, which is linear with respect to the dynamic parameters. This model is sample...
Maxime Gautier, Alexandre Janot, Pierre-Olivier Va...
— The new generation of implanted neuroprostheses allows muscles to be controlled with fine accuracy, high selectivity and the repeatability of the muscle’s response can be ach...
David Guiraud, Philippe Poignet, Pierre-Brice Wieb...
Abstract. This paper discusses a new experimental robot load identification method that is used in industry. The method is based on periodic robot excitation and the maximum likeli...
Jan Swevers, Walter Verdonck, Birgit Naumer, Stefa...
In this paper we present a new method of interval fuzzy model identification. The method combines a fuzzy identification methodology with some ideas from linear programming theory...
—This paper discusses a method to identify dynamic parameters in a rigid-link flexible-joint robot model using motion capture. The procedure is divided into two parts. First, the...