Optimized control mapping through user-tuned cost of effort, time, and reliability*

Published: Jun 1, 2019
Abstract
Humans consistently coordinate their joints to perform a variety of tasks. Computational motor control theory explains these stereotypical behaviors using optimal control. Several cost functions have been used to explain specific movements, which suggests that the brain optimizes for a combination of costs and just varies their relative weights to perform different tasks. In the case of tunable human-machine interfaces, we hypothesize that the...
Paper Details
Title
Optimized control mapping through user-tuned cost of effort, time, and reliability*
Published Date
Jun 1, 2019
Journal
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