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Minimal resolution needed for an accurate parametric identification - application to an industrial robot arm.

, , , and . IROS, page 2455-2460. IEEE, (2007)

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New iterative learning identification and model based control of robots using only actual motor torque data., , and . AIM, page 1436-1441. IEEE, (2013)DIDIM: A new method for the dynamic identification of robots from only torque data., , and . ICRA, page 2122-2127. IEEE, (2008)Benchmark problems for continuous-time model identification: Design aspects, results and perspectives., , , and . Autom., (2019)A Generic Instrumental Variable Approach for Industrial Robot Identification., , and . IEEE Trans. Control. Syst. Technol., 22 (1): 132-145 (2014)An instrumental variable method for robot identification based on time variable parameter estimation., , , and . Kybernetika, 54 (1): 202-220 (2018)Experimental joint stiffness identification depending on measurements availability., , , and . CDC/ECC, page 5112-5117. IEEE, (2011)Joint stiffness identification from only motor force/torque data., , , and . CDC/ECC, page 5088-5093. IEEE, (2011)Using robust regressions and residual analysis to verify the reliability of LS estimation: Application in robotics., , and . IROS, page 1962-1967. IEEE, (2009)On the identification of continuous-time inverse dynamic model of electromechanical systems operating in closed loop with an instrumental variable approach: application to industrial robots. (Sur l'identification du modèle dynamique inverse à temps continu de systèmes électromécaniques opérant en boucle fermée avec une approche basée sur les variables instrumentales: application aux robots industriels).. (2017)Effectiveness of the DIDIM method with respect to the usual CLOE method. Application to the dynamic parameters identification of an industrial robot., , and . ASCC, page 1-6. IEEE, (2013)