2001
DOI: 10.1299/jsmec.44.676
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Maximum Structural Error Propagation of Multi-Axis Force Sensors.

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Cited by 9 publications
(7 citation statements)
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“…However, two primary error sources exist: the design limitation of the sensor structure and noise signals present in the sensed information [13]. Basic sensor error information can be eliminated to an extent by using a suitable mechanical design and decoupling algorithm, as described in the literature [1,5,13,14].…”
Section: Introductionmentioning
confidence: 99%
“…However, two primary error sources exist: the design limitation of the sensor structure and noise signals present in the sensed information [13]. Basic sensor error information can be eliminated to an extent by using a suitable mechanical design and decoupling algorithm, as described in the literature [1,5,13,14].…”
Section: Introductionmentioning
confidence: 99%
“…In other to automate dexterous and accurate tasks using robotic manipulator, we need to feedback not only the position but also force/torque information. [1] The multi-axis force/torque sensors can measure the magnitude of multi-axis forces and torques simultaneously and they works based on the principle of elastic deformation. It is very hard to decouple all multi-axis output signals in the sensors.…”
Section: Introductionmentioning
confidence: 99%
“…Because of this, the design idea refers to the classical Maltese crossbar. [29][30][31][32][33] The cross-beam structure may be the earliest and most widely used elastic structure for MFSs because of self-decoupling mechanically and effectively. As a practical choice for a WFT, it not only meets the requirements of driving stability with spokes but also provides good vehicle support with fewer modifications than those of other configurations such as the cylinder shape, 25,28 the E-membrane 27 and the Stewart platforms.…”
Section: Proposed Structure Of the Force-sensing Elementmentioning
confidence: 99%
“…where the notation d represents the disturbed error of the true value for each item S, C and F respectively. Taking the norms of equation (12) with matrix perturbation analysis, 22,33 it can be estimated by the inequality…”
Section: Performance Criteria For the Optimal Designmentioning
confidence: 99%
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