DocumentCode
1849090
Title
HEXA-parallel-structure calibration by means of angular passive joint sensors
Author
Last, Philipp ; Budde, Christoph ; Bier, Carlos ; Hesselbach, Jürgen
Author_Institution
Inst. of Machine Tools & Production Technol., Tech. Univ. Braunschweig, Germany
Volume
3
fYear
2005
fDate
2005
Firstpage
1300
Abstract
Geometric calibration is a well known technique to improve absolute accuracy of robotic structures. This is to adjust the kinematic parameters in the robot controller model to the actual robot parameters which differ from the nominal values due to e.g. manufacturing errors or thermal effects. Usually redundant measurement which is required for calibration is obtained by external measurement devices. Parallel robots offer the opportunity to perform a more elegant calibration by means of sensors placed in the passive joints. This approach which offers several advantages compared to conventional calibration is known as self-calibration since the passive joint sensors are part of the robot system itself. This paper presents a technique for self-calibration of the HEXA-parallel-structure. Due to consequent utilization of the passive joint sensors the approach works computationally more efficient than others. Particular problems arising during the calibration process are addressed and corresponding solutions are proposed. Finally calibration success is demonstrated by means of simulation studies.
Keywords
calibration; robot kinematics; sensors; HEXA-parallel-structure self-calibration; angular passive joint sensors; external measurement devices; geometric calibration; kinematic parameters; parallel robots; redundant measurement; robot controller model; robotic structure absolute accuracy; Calibration; Computational geometry; Educational robots; Kinematics; Parallel robots; Particle measurements; Robot control; Robot sensing systems; Robotics and automation; Sensor systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation, 2005 IEEE International Conference
Conference_Location
Niagara Falls, Ont., Canada
Print_ISBN
0-7803-9044-X
Type
conf
DOI
10.1109/ICMA.2005.1626741
Filename
1626741
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