Results 111 to 120 of about 1,510,101 (281)
Haptic In‐Sensor Computing Device Based on CNT/PDMS Nanocomposite Physical Reservoir
Using a porous carbon nanotube‐polydimethylsiloxane nanocomposite, a sensor array integrated with a physical reservoir computing paradigm capable of in‐sensor computing is demonstrated. The device is able to classify between nine objects with an accuracy above 80%, opening the possibility for low‐power sensing/computing for future robotics.
Kouki Kimizuka +7 more
wiley +1 more source
Stimulation strategies for neurons and fibres Connecting biological and artificial neural networks
International audienceElectrical stimulation of nerve tissue and recording of neural electrical activity are the basis of emerging prostheses and treatments for many neurological disorders.
Massobrio, Paolo +7 more
core
A skin‐conformal wearable device based on laser‐induced graphene is developed for continuous strain measurement across the circumference of the forearm for gesture recognition and hand‐tracking applications. Post material optimization, the strain sensor array is integrated with a wearable wireless readout circuit for real‐time control of a robotic arm,
Vinay Kammarchedu +2 more
wiley +1 more source
Biomimetic 3D Tactile Sensor System With Neuromorphic Encoding for Fascicle‐Level Feedback
A 3D biomimetic tactile sensor system converts skin‐like mechanical interactions into neural stimulation‐ready spike patterns. Embedded slow‐ and fast‐adapting sensors distinguish sustained pressure from transient touch, while neuromorphic encoding preserves their temporal signatures.
Minseok Kim +4 more
wiley +1 more source
Robust Local Cluster Neural Networks (ESANN) [PDF]
Eickhoff R, Sitte J, Rückert U. Robust Local Cluster Neural Networks (ESANN). In: Proceedings of the 14th European Symposium on Artificial Neural Networks (ESANN).
Eickhoff, Ralf +3 more
core
Inspired by human touch, a tendon‐driven soft robotic finger combines multimodal tactile sensing and deep learning to simultaneously perceive texture and softness on deformable surfaces. A CNN‐LSTM model fuses pressure, accelerometer, and gyroscope signals to accurately classify material properties, achieving up to 95.4% texture and 97.0% softness ...
Gorkem Anil Al +3 more
wiley +1 more source
Increasing the quantity of electrical stimulation pulses reduces cortical response inhibition
Background: Neural prostheses can potentially restore sensory experiences by electrically stimulating the brain, with effectiveness determined by the stimulation parameters.
Sabrina J. Meikle +3 more
doaj +1 more source
Accelerating Musculoskeletal Robotics Through Parametric Design and 3D‐Printed Flexible Structures
Parametric design and flexible 3D printing create muscle‐, tendon‐, ligament‐, and cushion‐like robotic elements from a single thermoplastic polyurethane material. Tuning lattice patterns adjusts regional mechanical properties and enables coordinated multijoint motions in a life‐sized musculoskeletal leg under external suspension, with partial body ...
Shunnosuke Yoshimura +2 more
wiley +1 more source
Development of a microcontrolled bioinstrumentation system for active control of leg prostheses
This article describes the design of a microcontrolled bioinstrumentation system for active control of leg prostheses, using 4-channel electromyographic signal (EMG) detection and a single-channel electrogoniometer.
Sene, Iwens Gervasio, Jr. +11 more
core +1 more source
A mechanics‐informed machine learning framework enables mechanics field prediction and inverse design of tendon–bone enthesis‐inspired functionally graded materials that reduce stress concentration and failure risk. By coupling multiscale finite element modeling, convolutional field prediction, and kernel‐based inverse design, the study uncovers ...
Zhangke Yang, Zhaoxu Meng
wiley +1 more source

