research
∙
07/25/2022
Exploiting High Quality Tactile Sensors for Simplified Grasping
Robots are expected to grasp a wide range of objects varying in shape, w...
share
research
∙
09/09/2021
Object recognition for robotics from tactile time series data utilising different neural network architectures
Robots need to exploit high-quality information on grasped objects to in...
research
∙
09/09/2021
HSMD: An object motion detection algorithm using a Hybrid Spiking Neural Network Architecture
The detection of moving objects is a trivial task performed by vertebrat...
research
∙
11/07/2020
Strawberry Detection Using a Heterogeneous Multi-Processor Platform
Over the last few years, the number of precision farming projects has in...
research
∙
04/03/2020
On-Device Transfer Learning for Personalising Psychological Stress Modelling using a Convolutional Neural Network
Stress is a growing concern in modern society adversely impacting the wi...
research
∙
09/18/2019
NatCSNN: A Convolutional Spiking Neural Network for recognition of objects extracted from natural images
Biological image processing is performed by complex neural networks comp...
research
∙
05/01/2019