A University of Utah team led by Marshall Trout and Jacob A. George published a new paper in Nature Communications demonstrating shared human–machine control for a commercial bionic hand. By integrating proximity + pressure sensing and using AI to help each finger “find” contact automatically, users can maintain control while the hand handles the fine-grain adjustments—resulting in more secure, more precise grasps with lower cognitive burden.
As of Jan 13, 2026, the paper has an Altmetric attention score of 814.