2011
DOI: 10.1016/j.measurement.2011.06.013
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Optimum design method of multi-axis force sensor integrated in humanoid robot foot system

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Cited by 36 publications
(12 citation statements)
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“…However, the final tail of the graph for the numerical results is shown to indicate non-linear strains, whereas the graph for the Timoshenko equation results shows only a straight line. These results agree with those of studies that have compared Timoshenko results with numerical results [22,27].…”
Section: Comparison Of Numerical Solution With Analytical Solutionsupporting
confidence: 91%
See 1 more Smart Citation
“…However, the final tail of the graph for the numerical results is shown to indicate non-linear strains, whereas the graph for the Timoshenko equation results shows only a straight line. These results agree with those of studies that have compared Timoshenko results with numerical results [22,27].…”
Section: Comparison Of Numerical Solution With Analytical Solutionsupporting
confidence: 91%
“…In another study, the performance and structural design of a prestressed six-axis F/M sensor with double layers were validated by considering the optimization objective to obtain optimal structural parameters [21]. To optimize the design of a multi-axis force sensor (MFS) integrated in a humanoid robot foot structure, a study analyzed the design criteria and strain gauge sensitivity as the objective function for MFS numerical optimization [22]. However, developing an F/M sensor with high performance requires appropriate design criteria for the sensor's body structure and a numerical optimization process to evaluate the sensor's sensing accuracy in terms of cross coupling and measurement error.…”
Section: Introductionmentioning
confidence: 99%
“…Many kinds of six-axis force/torque sensors were developed depend on strain gauges with different structures. Lu-Ping Chao [4], Baoyuan Wu [5] designed six-axis force sensors based on cross beam. Sheng A. Liu and Hung L. Tzo [6] presented a six-component force sensor in the form of four identical T-shaped bars.…”
Section: Introductionmentioning
confidence: 99%
“…However, Lu-Ping Chao [4] and Sheng A. Liu [6] adopted relatively simple objective optimization functions (minimizing weight of the sensor), which make it difficult to obtain precise strain values on given points. Baoyuan Wu [5] suggested a synthetic optimum design method depended on compliance matrix, finite element method, orthogonal design and range analysis, and developed a six-axis force sensor integrated in humanoid robot foot system. He considered the measurement sensitivity, but ignored stiffness of the sensor which is a very important index.…”
Section: Introductionmentioning
confidence: 99%
“…In general use, these MFS are small and their structure analysis is always under approximate static state, which means the inertia/mass of the sensor itself exerts little influence on sensor response or the signal processing is fully able to cope with it. Reports have shown that a great number of these MFS have quite good performance in many applications including the wrist sensors in robot arms (Kim et al, 2003;Wu et al, 2011b;Ma et al, 2013).…”
Section: Introductionmentioning
confidence: 99%