AIMC Topic: Hand Strength

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Motor adaptation via distributional learning.

Journal of neural engineering
. Both artificial and biological controllers experience errors during learning that are probabilistically distributed. We develop a framework for modeling distributions of errors and relating deviations in these distributions to neural activity.. The...

Asymmetric shape of distal phalanx of human finger improves precision grasping.

Scientific reports
In morphology field, the functions of an asymmetric-shaped distal phalanx in human finger have only been inferred. In this study, we used an engineering approach to empirically examine the effects of the shape of distal phalanx on the ability of prec...

Comparison of Different Technologies for Soft Robotics Grippers.

Sensors (Basel, Switzerland)
Soft grippers have experienced a growing interest due to their considerable flexibility that allows them to grasp a variety of objects, in contrast to hard grippers, which are designed for a specific item. One of their most remarkable characteristics...

Effects of a Soft Robotic Hand for Hand Rehabilitation in Chronic Stroke Survivors.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association
OBJECTIVES: Soft robotic hands are proposed for stroke rehabilitation in terms of their high compliance and low inherent stiffness. We investigated the clinical efficacy of a soft robotic hand that could actively flex and extend the fingers in chroni...

Development and feasibility of a soft pneumatic-robotic glove to assist impaired hand function in quadriplegia patients: A pilot study.

Journal of bodywork and movement therapies
One of the common disorders in people with quadriplegia is having a weak grip strength that can affect activities of daily living (ADL). This study presents the design of a soft robotic glove via pneumatic actuators and feasibility according to a ran...

Optimal strategy of sEMG feature and measurement position for grasp force estimation.

PloS one
Grasp force estimation based on surface electromyography (sEMG) is essential for the dexterous control of a prosthetic hand. Nowadays, although increasing the number of sEMG measurement positions and extracting more features are common methods to inc...

Scaling Up Soft Robotics: A Meter-Scale, Modular, and Reconfigurable Soft Robotic System.

Soft robotics
Today's use of large-scale industrial robots is enabling extraordinary achievement on the assembly line, but these robots remain isolated from the humans on the factory floor because they are very powerful, and thus dangerous to be around. In contras...

Generation of Tactile Data From 3D Vision and Target Robotic Grasps.

IEEE transactions on haptics
Tactile perception is a rich source of information for robotic grasping: it allows a robot to identify a grasped object and assess the stability of a grasp, among other things. However, the tactile sensor must come into contact with the target object...

Object manipulation without hands.

Proceedings. Biological sciences
Our current understanding of manipulation is based on primate hands, resulting in a detailed but narrow perspective of ways to handle objects. Although most other animals lack hands, they are still capable of flexible manipulation of diverse objects,...