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However, significantly faster learning was observed for the consistent, compared to the variable, follow-through group for both kinematic error and force compensation as shown using an ANOVA across all exposure trials with the main effects of experimental group and trial number.
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There was a significant interaction effect for both kinematic error (F1,124 = 7.388; p = 0.08) and force compensation (F1,124 = 21.55; p < 0.001), indicating that interference was strongly reduced in the follow-through group.
The same analysis, performed on the first one-third of the exposure trials, showed significantly faster learning for the consistent compared to the variable follow-through group for both kinematic error (F1,1980 = 93.171; p < 0.001) and force compensation (F1,220 = 9.057; p = 0.003).
We found both a significant reduction in kinematic error and increase in force compensation reaching around 40% of full compensation over a session.
It was demonstrated that when subjects were presented with delayed visual trajectory information during adaptation to curl force fields, they were still able to reduce their kinematic error and make straight reaching movements [18].
Participants performed 75 blocks of 18 trials each in the force field, and to examine learning, we compared differences in the kinematic error and force compensation between the first four blocks and final four blocks in the exposure phase using an ANOVA with a main factor of epoch (two levels) and random factor of participant (eight levels).
Participants performed 240 blocks of 26 trials over 5 days, and to examine learning, we compared differences in the kinematic error and force compensation for the first four blocks and final four blocks in the force field using an ANOVA with a main factor of epoch (two levels) and random factor of participants (six levels).
Three major error sources, including on-machine vibration, machine tool kinematic errors, and linearity errors are investigated according to the characteristics of interferometric single point OMM.
Based on the derived mathematical model of the gear pair with assumed assembly errors, tooth contact analysis is performed to determine the influences of kinematic errors and the asymmetric tooth profile.
Serial Haptic Master devices with large DOF have the advantages of large workspace and improved dexterity but these also contribute more to the kinematic errors and dynamics effects if not properly designed.
This paper presents a method for kinematic error analysis and tolerance design of cycloidal gear reducers.
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