DocumentCode :
3587133
Title :
An online calibration method for six-dimensional force/torque sensor based on shape from motion combined with complex algorithm
Author :
Yongjun Sun ; Yajuan Li ; Yiwei Liu ; Hong Liu
Author_Institution :
Sch. of Mech., Harbin Inst. of Technol. (HIT), Harbin, China
fYear :
2014
Firstpage :
2631
Lastpage :
2636
Abstract :
The traditional six-dimensional force/torque sensor calibration method requires a lot of precision loading force and can only be off-line calibration. In this paper, to solve the problem, an online calibration and decoupling method based on the shape from motion combined with complex algorithm is proposed. It does not require accurate and redundant loading force information, and have better noise suppression characteristics just as the LSM in high-precision load, high redundant data acquisition correction. Compared to LSM, SFM method is a more efficient, high-precision calibration method. In the calibration process of SFM, a known force is applied in any direction within the space of the sensor, while the original output data is recorded in each direction. Finally, the algorithm is validated by carrying out experiment on one kinds of JR3 six-dimensional force/torque sensor.
Keywords :
calibration; data acquisition; force sensors; optimisation; robots; torque measurement; JR3 six-dimensional force sensor; JR3 six-dimensional torque sensor; SFM method; complex algorithm; decoupling method; noise suppression characteristics; offline calibration; online calibration method; precision loading force; redundant data acquisition correction; robot; six-dimensional force sensor calibration method; six-dimensional torque sensor calibration method; Calibration; Force; Loading; Matrix decomposition; Robot sensing systems; Shape; Torque;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2014 IEEE International Conference on
Type :
conf
DOI :
10.1109/ROBIO.2014.7090739
Filename :
7090739
Link To Document :
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