Optimal control predicts human performance on objects with internal degrees of freedom
On a daily basis, humans interact with a vast range of objects and tools. A class of tasks, which can pose a serious challenge to our motor skills, are those that involve manipulating objects with internal degrees of freedom, such as when folding laundry or using a lasso. Here, we use the framework...
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Veröffentlicht in: | PLoS computational biology 2009-06, Vol.5 (6), p.e1000419-e1000419 |
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Format: | Artikel |
Sprache: | eng |
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