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Exact(32)
This result demonstrates that our method has good repeatability.
This demonstrates that our method has second order convergence in time.
This demonstrates that our method is stable as mass resolution is changed.
Experimental evaluation demonstrates that our method improves the performance of dexterous grasping under shape uncertainty.
The result demonstrates that our method has a better correlation with the intuitions of human judgments than other related works.
Though we choose different values, the results are similar and satisfying, which demonstrates that our method is less sensitive to the choice of σ.
Similar(28)
Numerical examples demonstrate that our method supports the theoretical results.
Our experiments demonstrate that our method can generate reliable results.
Experimental results demonstrate that our method is effective.
Experimental results demonstrate that our method can increase the recognition accuracy specifically in noisy environments.
Next, we demonstrate that our method obtains competitive performance compared to the state of the art.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com