Embodied neuromorphic intelligence

C Bartolozzi, G Indiveri, E Donati - Nature communications, 2022 - nature.com
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 …

Current solutions and future trends for robotic prosthetic hands

V Mendez, F Iberite, S Shokur… - Annual Review of Control …, 2021 - annualreviews.org
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 …

A neuro-inspired artificial peripheral nervous system for scalable electronic skins

WW Lee, YJ Tan, H Yao, S Li, HH See, M Hon… - Science Robotics, 2019 - science.org
The human sense of touch is essential for dexterous tool usage, spatial awareness, and
social communication. Equipping intelligent human-like androids and prosthetics with …

Self healable neuromorphic memtransistor elements for decentralized sensory signal processing in robotics

RA John, N Tiwari, MIB Patdillah, MR Kulkarni… - Nature …, 2020 - nature.com
Sensory information processing in robot skins currently rely on a centralized approach
where signal transduction (on the body) is separated from centralized computation and …

A comprehensive realization of robot skin: Sensors, sensing, control, and applications

G Cheng, E Dean-Leon, F Bergner… - Proceedings of the …, 2019 - ieeexplore.ieee.org
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 …

Braille letter reading: A benchmark for spatio-temporal pattern recognition on neuromorphic hardware

SF Müller-Cleve, V Fra, L Khacef… - Frontiers in …, 2022 - frontiersin.org
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 …

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 …

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 …

AM-SGCN: Tactile object recognition for adaptive multichannel spiking graph convolutional neural networks

J Yang, T Liu, Y Ren, Q Hou, S Li, J Hu - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
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 …

Adaptive optimal measurement algorithm for ERT-based large-area tactile sensors

K Park, H Lee, KJ Kuchenbecker… - IEEE/ASME Transactions …, 2021 - ieeexplore.ieee.org
Electrical resistance tomography (ERT) is an inferential imaging technique that has shown
promising results for enabling large-area tactile sensors constructed from a piezoresistive …