Choosing Measurement Poses for Robot Calibration with the Local Convergence Method and Tabu Search

The robustness of robot calibration with respect to sensor noise is sensitive to the manipulator poses used to collect measurement data. In this paper we propose an algorithm based on a constrained optimization method, which allows us to choose a set of measurement configurations. It works by select...

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Veröffentlicht in:	The International journal of robotics research 2005-06, Vol.24 (6), p.501-518
Hauptverfasser:	Daney, David, Papegay, Yves, Madeline, Blaise
Format:	Artikel
Sprache:	eng
Schlagworte:	Calibration Computer Science Measurement techniques Optimization algorithms Parameter identification Robotics Robots Robust statistics Sensors
Online-Zugang:	Volltext
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