Tactile sensing plays a pivotal role in achieving precise physical manipulation tasks and
extracting vital physical features. This comprehensive review paper presents an in-depth …

Modelling functionalities of the brain in human-robot interaction contexts requires a real-time
understanding of how each part of a robot (motors, sensors, emotions, etc.) works and how …

Competitive‐learning‐based spiking neural networks are capable of rapid, highly accurate
pattern recognition with minimal data through denoising mechanisms provide by adaptive …

The sense of touch plays a fundamental role in enabling us to interact with our surrounding
environment. Indeed, the presence of tactile feedback in prostheses greatly assists …

We propose a memristive interface consisting of two FitzHugh–Nagumo electronic neurons
connected via a metal–oxide (Au/Zr/ZrO2 (Y)/TiN/Ti) memristive synaptic device. We create a …

Dexterous manipulation in robotic hands relies on an accurate sense of artificial touch. Here
we investigate neuromorphic tactile sensation with an event-based optical tactile sensor …

During the past few decades, a significant amount of research effort has been dedicated
toward developing skin-inspired sensors for real-time human motion monitoring and next …

In tactile sensing, decoding the journey from afferent tactile signals to efferent motor
commands is a significant challenge primarily due to the difficulty in capturing population …

Robots and users of hand prosthesis could easily manipulate objects if endowed with the
sense of touch. Towards this goal, information about touched objects and surfaces has to be …

To develop a biomimetic artificial tactile sensing system capable of detecting sustained
mechanical touch, we propose a novel biological neuron model (BNM) for slowly adapting …