Title:	3D Vision Based Calibration Approach for Robotic Laser Surfacing Applications
Authors:	Vaníček, Ondřej Chaluš, Michal Liška, Jindřich
Citation:	VANÍČEK, O. CHALUŠ, M. LIŠKA, J. 3D Vision Based Calibration Approach for Robotic Laser Surfacing Applications. In Proceedings of the 2022 20th International Conference on Mechatronics - Mechatronika (ME 2022). New York: IEEE, 2022. s. nestránkováno. ISBN: 978-1-66541-040-3
Issue Date:	2022
Publisher:	IEEE
Document type:	konferenční příspěvek ConferenceObject
URI:	2-s2.0-85146310839 http://hdl.handle.net/11025/51446
ISBN:	978-1-66541-040-3
Keywords in different language:	robotics;3d vision;hand-eye calibration;positioner calibration;automatic trajectory planning;laser surfacing
Abstract in different language:	This paper introduces an integrated approach to calibration and optical measurement processing in the area of robotic 3D vision. The target robotic work-cell consists of a 6-axis industrial manipulator extended by a linear rail and a 2-axis positioner, a color 3D camera and a laser surfacing equipment as the process technology. We have developed a hybrid method for the detection of the calibration checkerboard based on sequential processing of the 2D color image and the 3D point cloud data. This method is further used for both the calibration of the 3D color camera as the robot’s tool and for the calibration of the two-axis servo positioner as the robot’s external coordinate frame. The resulting calibrations will be used for precise detection and positiong of the workpiece during the process of 3D scanning and successive laser surface modification. The resulting precision of the calibration techniques is verified by several experiments.
Rights:	Plný text je přístupný v rámci univerzity přihlášeným uživatelům. © IEEE
Appears in Collections:	Konferenční příspěvky / Conference papers (NTIS) Konferenční příspěvky / Conference Papers (KKY) OBD

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