AIMC Topic: Hand Strength

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Comparing classification techniques for identification of grasped objects.

Biomedical engineering online
BACKGROUND: This work presents a comparison and selection of different machine learning classification techniques applied in the identification of objects using data collected by an instrumented glove during a grasp process. The selected classifiers ...

Fluid Pressure Monitoring-Based Strategy for Delicate Grasping of Fragile Objects by A Robotic Hand with Fluid Fingertips.

Sensors (Basel, Switzerland)
In this study, we propose a strategy for delicately grasping fragile objects using a robotic gripper with highly deformable fluid fingertips. In an earlier study, we developed a soft fingertip, referred to as a fluid fingertip, which was fabricated f...

High-Load Soft Grippers Based on Bionic Winding Effect.

Soft robotics
The improvement of the load capacity of soft grippers has always been a challenge. To tackle this load capacity challenge, this work presents four novel types of high-load (HL) soft grippers that are bioinspired by bionic winding models. The winding ...

Assistive Grasping Based on Laser-point Detection with Application to Wheelchair-mounted Robotic Arms.

Sensors (Basel, Switzerland)
As the aging of the population becomes more severe, wheelchair-mounted robotic arms (WMRAs) are gaining an increased amount of attention. Laser pointer interactions are an attractive method enabling humans to unambiguously point out objects and pick ...

Shape memory alloy reinforced 5 mm ultra-thin rigid link surgical instrument with force-feedback.

Journal of medical engineering & technology
We report the development of a rigid link surgical instrument for surgical robotics. The device is only 5 mm in diameter and equipped with a shape memory alloy for better gripping, which avoids the use of mechanical gears. This ultra-thin instrument ...

Modelling the structure of object-independent human affordances of approaching to grasp for robotic hands.

PloS one
Grasp affordances in robotics represent different ways to grasp an object involving a variety of factors from vision to hand control. A model of grasp affordances that is able to scale across different objects, features and domains is needed to provi...

Classification and regression of spatio-temporal signals using NeuCube and its realization on SpiNNaker neuromorphic hardware.

Journal of neural engineering
OBJECTIVE: The objective of this work is to use the capability of spiking neural networks to capture the spatio-temporal information encoded in time-series signals and decode them without the use of hand-crafted features and vector-based learning and...

Exo-Glove Poly II: A Polymer-Based Soft Wearable Robot for the Hand with a Tendon-Driven Actuation System.

Soft robotics
This article presents Exo-Glove Poly (EGP) II, a soft wearable robot for the hand with a glove that is completely constructed of polymer materials and that operates through tendon-driven actuation for use in spinal cord injury (SCI). EGP II can resto...