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Proceedings ArticleDOI

Control strategies for smart prosthetic hand technology: An overview

TLDR
A chronological overview of the applications of control theory to prosthetic hand is presented and focuses on hard and soft control techniques such as multivariable feedback, optimal, nonlinear, adaptive and robust and soft computing or control techniques.
Abstract
A chronological overview of the applications of control theory to prosthetic hand is presented. The overview focuses on hard computing or control techniques such as multivariable feedback, optimal, nonlinear, adaptive and robust and soft computing or control techniques such as artificial intelligence, neural networks, fuzzy logic, genetic algorithms and on the fusion of hard and soft control techniques. This overview is not intended to be an exhaustive survey on this topic and any omissions of other works is purely unintentional.

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Citations
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Journal ArticleDOI

Exploring Teleimpedance and Tactile Feedback for Intuitive Control of the Pisa/IIT SoftHand

TL;DR: Results suggest that incorporating the aforementioned haptic feedback strategies, together with user-driven compliance of the hand, facilitate execution of safe and stable grasps, while suggesting that a low-cost, robust hand employing hardware-based synergies might be a good alternative to traditional myoelectric prostheses.
Journal ArticleDOI

Cognitive vision system for control of dexterous prosthetic hands: Experimental evaluation

TL;DR: The original outcome of this research is a novel controller empowered by vision and reasoning and capable of high-level analysis and autonomous decision making and selecting the grasp type and size.
Journal ArticleDOI

An sEMG-Based Human–Robot Interface for Robotic Hands Using Machine Learning and Synergies

TL;DR: An HRI system based on eight fully differential EMG sensors connected to a wearable sensor node for acquisition and processing based on a novel bio-inspired approach that merges pattern recognition and factorization techniques to combine a natural selection of the robotic hand configuration with the proportional control of the related grasps.
Proceedings Article

Control of an object with parallel surfaces by a pair of finger robots without object sensing

Ryuta Ozawa
TL;DR: In this paper, a method for controlling an object with parallel surfaces in a horizontal plane by a pair of finger robots is proposed, which can achieve stable grasping, relative orientation control, and relative position control of the grasped object.
References
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Journal ArticleDOI

Optimal Control Systems

TL;DR: This book discusses Classical and Modern Control Optimization Optimal Control Historical Tour, Variational Calculus for Discrete-Time Systems, and more.
Journal ArticleDOI

A critical review of interfaces with the peripheral nervous system for the control of neuroprostheses and hybrid bionic systems

TL;DR: A critical overview of the peripheral interfaces available and trace their use from research to clinical application in controlling artificial and robotic prostheses is provided.
Journal ArticleDOI

Direct neural sensory feedback and control of a prosthetic arm

TL;DR: This approach allows amputees to both judge and set grip force and joint position in an artificial arm, in the absence of visual input, thus providing a substrate for better integration of the artificial limb into the amputee's body image.
Journal ArticleDOI

Control of Multifunctional Prosthetic Hands by Processing the Electromyographic Signal

TL;DR: The traditional methods used to control artificial hands by means of EMG signal are presented, in both the clinical and research contexts, and what could be the future developments in the control strategy of these devices are introduced.
Journal ArticleDOI

A heuristic fuzzy logic approach to EMG pattern recognition for multifunctional prosthesis control

TL;DR: A heuristic fuzzy logic approach to multiple electromyogram (EMG) pattern recognition for multifunctional prosthesis control that is transparent to, and easily "tweaked" by, the prosthetist/clinician is presented.
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