ArticleNature communications2025
Shared human-machine control of an intelligent bionic hand improves grasping and decreases cognitive burden for transradial amputees.
Article in Nature communications, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- Bioinspired Metastable Transient Peeling for Repeatable Rapid Release.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- High-Resolution Contact Localization and Three-Axis Force Estimation with a Sparse Strain-Node Tactile Interface Device.Sensors (Basel, Switzerland) · 2026Article
- Preliminary Investigation of Myoelectric Control of an Assistive Neck Exoskeleton by Individuals With Amyotrophic Lateral Sclerosis.IEEE transactions on neural systems and rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society · 2026Article
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
Bionic hands can replicate many movements of the human hand, but our ability to intuitively control these bionic hands is limited. Humans' manual dexterity is partly due to control loops driven by sensory feedback. Here, we describe the integration of proximity and pressure sensors into a commercial prosthesis to enable autonomous grasping and show that continuously sharing control between the autonomous hand and the user improves dexterity and user experience. Artificial intelligence moved each finger to the point of contact while the user controlled the grasp with surface electromyography. A bioinspired dynamically weighted sum merged machine and user intent. Shared control resulted in greater grip security, greater grip precision, and less cognitive burden. Demonstrations include intact and amputee participants using the modified prosthesis to perform real-world tasks with different grip patterns. Thus, granting some autonomy to bionic hands presents a translatable and generalizable approach towards more dexterous and intuitive control.
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Registered trials
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