Article

Should bionic limb control mimic the human body? Impact of control strategy on bionic hand skill learning

2023-02-08

Abstract excerpt

<h4>ABSTRACT</h4> A longstanding engineering ambition has been to design anthropomorphic bionic limbs: devices that look like and are controlled in the same way as the biological body (biomimetic). The untested assumption is that biomimetic motor control enhances device embodiment, learning, generalization, and automaticity. To test this, we compared biomimetic and non-biomimetic control strategies for able-bodie...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 69217d2e-1cb8-5c7a-80d1-d1ee11c79d67
DOI: 10.1101/2023.02.07.525548

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Should bionic limb control mimic the human body? Impact of control strategy on bionic hand skill learningDOI 10.1101/2023.02.07.525548Read

Biologically informed geometry and force distribution improve task performance in agonist/antagonist tendon-driven prosthetic handsSemantic proximity Read

De Novo Sensorimotor Learning Through Reuse of Movement ComponentsSemantic proximity Read

Measuring and monitoring skill learning in closed-loop myoelectric hand prostheses using speed-accuracy tradeoffsSemantic proximity Read

Activities of Daily Living with Bionic Arm Improved by Combination Training and Latching Filter in Prosthesis Control ComparisonSemantic proximity Read

Task space exploration improves adaptation after incompatible virtual surgeriesSemantic proximity Read

Changes in Muscle Synergy Structure and Activation Patterns Underlie Force Field Adaptation, Retention, and GeneralizationSemantic proximity Read

Generalization reveals asymmetric and history-dependent control networks for multi-finger dexterous movementsSemantic proximity Read

Human-Robot Variable Impedance Skill Transfer Learning Based on Dynamic Movement Primitives and Vision SystemSemantic proximity Read

Computational Framework to Predict and Shape Human-Machine Interactions in Closed-loop, Co-adaptive Neural InterfacesSemantic proximity Read

Motor learning in real-world pool billiardsSemantic proximity Read

A non-invasive brain-machine interface via independent control of individual motor unitsSemantic proximity Read

Task-Relevant Haptic Feedback Improves Asymptotic Performance in de novo Arm Control AcquisitionSemantic proximity Read