Sensing in soft robotics

C Hegde, J Su, JMR Tan, K He, X Chen, S Magdassi - ACS nano, 2023 - ACS Publications
Soft robotics is an exciting field of science and technology that enables robots to manipulate
objects with human-like dexterity. Soft robots can handle delicate objects with care, access …

Active upper limb prostheses: A review on current state and upcoming breakthroughs

A Marinelli, N Boccardo, F Tessari… - Progress in …, 2023 - iopscience.iop.org
The journey of a prosthetic user is characterized by the opportunities and the limitations of a
device that should enable activities of daily living (ADL). In particular, experiencing a bionic …

[HTML][HTML] A review of myoelectric control for prosthetic hand manipulation

Z Chen, H Min, D Wang, Z **a, F Sun, B Fang - Biomimetics, 2023 - mdpi.com
Myoelectric control for prosthetic hands is an important topic in the field of rehabilitation.
Intuitive and intelligent myoelectric control can help amputees to regain upper limb function …

A review of sensory feedback in upper-limb prostheses from the perspective of human motor control

JW Sensinger, S Dosen - Frontiers in neuroscience, 2020 - frontiersin.org
This manuscript reviews historical and recent studies that focus on supplementary sensory
feedback for use in upper limb prostheses. It shows that the inability of many studies to …

Embodied communication: How robots and people communicate through physical interaction

A Kalinowska, PM Pilarski… - Annual review of control …, 2023 - annualreviews.org
Early research on physical human–robot interaction (pHRI) has necessarily focused on
device design—the creation of compliant and sensorized hardware, such as exoskeletons …

Myoelectric control of prosthetic hands: state-of-the-art review

P Geethanjali - Medical Devices: Evidence and Research, 2016 - Taylor & Francis
Myoelectric signals (MES) have been used in various applications, in particular, for
identification of user intention to potentially control assistive devices for amputees, orthotic …

A multi-stream convolutional neural network for sEMG-based gesture recognition in muscle-computer interface

W Wei, Y Wong, Y Du, Y Hu, M Kankanhalli… - Pattern Recognition …, 2019 - Elsevier
In muscle-computer interface (MCI), deep learning is a promising technology to build-up
classifiers for recognizing gestures from surface electromyography (sEMG) signals …

Adaptive extreme edge computing for wearable devices

E Covi, E Donati, X Liang, D Kappel… - Frontiers in …, 2021 - frontiersin.org
Wearable devices are a fast-growing technology with impact on personal healthcare for both
society and economy. Due to the widespread of sensors in pervasive and distributed …

Sensory feedback in upper limb prosthetics

C Antfolk, M D'alonzo, B Rosén… - Expert review of …, 2013 - Taylor & Francis
One of the challenges facing prosthetic designers and engineers is to restore the missing
sensory function inherit to hand amputation. Several different techniques can be employed …

Myoelectric forearm prostheses: State of the art from a user-centered perspective

B Peerdeman, D Boere, H Witteveen… - Journal of …, 2011 - research.utwente.nl
User acceptance of myoelectric forearm prostheses is currently low. Awkward control, lack of
feedback, and difficult training are cited as primary reasons. Recently, researchers have …