2022
DOI: 10.3390/s22020439
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Payload Identification and Gravity/Inertial Compensation for Six-Dimensional Force/Torque Sensor with a Fast and Robust Trajectory Design Approach

Abstract: In the robot contact operation, the robot relies on the multi-dimensional force/torque sensor installed at the end to sense the external contact force. When the effective load and speed of the robot are large, the gravity/inertial force generated by it will have a non-negligible impact on the output of the force sensor, which will seriously affect the accuracy and effect of the force control. The existing identification algorithm time is often longer, which also affects the efficiency of force control operatio… Show more

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Cited by 18 publications
(7 citation statements)
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“…are outlined in Table 1. The initial sensor signals were subjected to zero-point zero-drift processing and real-time gravity compensation as in the literature 27 , and then the noisy signals were filtered with a low-pass Butterworth filter.…”
Section: Ib Ib Ib Ibmentioning
confidence: 99%
“…are outlined in Table 1. The initial sensor signals were subjected to zero-point zero-drift processing and real-time gravity compensation as in the literature 27 , and then the noisy signals were filtered with a low-pass Butterworth filter.…”
Section: Ib Ib Ib Ibmentioning
confidence: 99%
“…The props and simulated loads collectively form a unified entity, which can be regarded as a cuboidal mass, with mass = 52.68 kg and dimensions , and inertia , as outlined in Table 1 . The initial sensor signals were subjected to zero-point zero-drift processing and real-time gravity compensation, as in the literature [ 27 ], and then the noisy signals were filtered with a low-pass Butterworth filter.…”
Section: Experimental Verificationmentioning
confidence: 99%
“…The relationship between forces and moments can be derived using the right-hand rule [30] by referring to Fig. 3 as:…”
Section: Gravity Compensationmentioning
confidence: 99%