Embodied neuromorphic intelligence
The design of robots that interact autonomously with the environment and exhibit complex
behaviours is an open challenge that can benefit from understanding what makes living …
behaviours is an open challenge that can benefit from understanding what makes living …
Current solutions and future trends for robotic prosthetic hands
The desire for functional replacement of a missing hand is an ancient one. Historically,
humans have replaced a missing limb with a prosthesis for cosmetic, vocational, or personal …
humans have replaced a missing limb with a prosthesis for cosmetic, vocational, or personal …
A neuro-inspired artificial peripheral nervous system for scalable electronic skins
The human sense of touch is essential for dexterous tool usage, spatial awareness, and
social communication. Equipping intelligent human-like androids and prosthetics with …
social communication. Equipping intelligent human-like androids and prosthetics with …
Self healable neuromorphic memtransistor elements for decentralized sensory signal processing in robotics
Sensory information processing in robot skins currently rely on a centralized approach
where signal transduction (on the body) is separated from centralized computation and …
where signal transduction (on the body) is separated from centralized computation and …
A comprehensive realization of robot skin: Sensors, sensing, control, and applications
This article presents a holistic approach to the engineering of an artificial robot skin for
robots. An example of a multimodal skin cell is given, one that supports multiple human-like …
robots. An example of a multimodal skin cell is given, one that supports multiple human-like …
Braille letter reading: A benchmark for spatio-temporal pattern recognition on neuromorphic hardware
Spatio-temporal pattern recognition is a fundamental ability of the brain which is required for
numerous real-world activities. Recent deep learning approaches have reached outstanding …
numerous real-world activities. Recent deep learning approaches have reached outstanding …
Neuromorphic bioelectronic medicine for nervous system interfaces: from neural computational primitives to medical applications
E Donati, G Indiveri - Progress in Biomedical Engineering, 2023 - iopscience.iop.org
Bioelectronic medicine treats chronic diseases by sensing, processing, and modulating the
electronic signals produced in the nervous system of the human body, labeled'neural …
electronic signals produced in the nervous system of the human body, labeled'neural …
Neurotac: A neuromorphic optical tactile sensor applied to texture recognition
B Ward-Cherrier, N Pestell… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Developing artificial tactile sensing capabilities that rival human touch is a long-term goal in
robotics and prosthetics. Gradually more elaborate biomimetic tactile sensors are being …
robotics and prosthetics. Gradually more elaborate biomimetic tactile sensors are being …
AM-SGCN: Tactile object recognition for adaptive multichannel spiking graph convolutional neural networks
In recent years, event-driven tactile data learning and event-driven spiking neural network
(SNN) characteristics have provided new methods for tactile event perception. However, it is …
(SNN) characteristics have provided new methods for tactile event perception. However, it is …
Adaptive optimal measurement algorithm for ERT-based large-area tactile sensors
Electrical resistance tomography (ERT) is an inferential imaging technique that has shown
promising results for enabling large-area tactile sensors constructed from a piezoresistive …
promising results for enabling large-area tactile sensors constructed from a piezoresistive …