13 citations · 19 across the 7 of their papers we have counts for
8 papers
Computational models of object motion detectors accelerated using FPGA technology
Pedro Machado
This PhD research introduces three key contributions in the domain of object motion detection: Multi-Hierarchical Spiking Neural Network (MHSNN): A specialized four-layer Spiking N…
Deep Reinforcement Learning for Energy-Efficient on the Heterogeneous Computing Architecture
Zheqi Yu, Chao Zhang, Pedro Machado +4
The growing demand for optimal and low-power energy consumption paradigms for IOT devices has garnered significant attention due to their cost-effectiveness, simplicity, and intell…
Exploiting High Quality Tactile Sensors for Simplified Grasping
Pedro Machado, T. M. McGinnity
Robots are expected to grasp a wide range of objects varying in shape, weight or material type. Providing robots with tactile capabilities similar to humans is thus essential for a…
NeuroHSMD: Neuromorphic Hybrid Spiking Motion Detector
Pedro Machado, Joao Filipe Ferreira, Andreas Oikonomou +1
Vertebrate retinas are highly-efficient in processing trivial visual tasks such as detecting moving objects, yet a complex challenges for modern computers. In vertebrates, the dete…
Object recognition for robotics from tactile time series data utilising different neural network architectures
Wolfgang Bottcher, Pedro Machado, Nikesh Lama +1
Robots need to exploit high-quality information on grasped objects to interact with the physical environment. Haptic data can therefore be used for supplementing the visual modalit…
HSMD: An object motion detection algorithm using a Hybrid Spiking Neural Network Architecture
Pedro Machado, Andreas Oikonomou, Joao Filipe Ferreira +1
The detection of moving objects is a trivial task performed by vertebrate retinas, yet a complex computer vision task. Object-motion-sensitive ganglion cells (OMS-GC) are specialis…
Strawberry Detection Using a Heterogeneous Multi-Processor Platform
Samuel Brandenburg, Pedro Machado, Nikesh Lama +1
Over the last few years, the number of precision farming projects has increased specifically in harvesting robots and many of which have made continued progress from identifying cr…
NatCSNN: A Convolutional Spiking Neural Network for recognition of objects extracted from natural images
Pedro Machado, Georgina Cosma, T. M McGinnity
Biological image processing is performed by complex neural networks composed of thousands of neurons interconnected via thousands of synapses, some of which are excitatory and othe…