71 citations · 140 across the 11 of their papers we have counts for
11 papers
A Realistic Simulation Framework for Analog/Digital Neuromorphic Architectures
Fernando M. Quintana, Maryada, Pedro L. Galindo +3
Developing dedicated mixed-signal neuromorphic computing systems optimized for real-time sensory-processing in extreme edge-computing applications requires time-consuming design, f…
Fuel Saving Effect and Performance of Velocity Control for Modern Combustion-Powered Scooters
Jannis Kreß, Jens Rau, Hektor Hebert +3
This paper investigates the performance and fuel-saving effect of a velocity control algorithm on modern 50 cc scooters (Euro 5). The European Parliament has adopted major CO e…
WaLiN-GUI: a graphical and auditory tool for neuron-based encoding
Simon F. Müller-Cleve, Fernando M. Quintana, Vittorio Fra +4
Neuromorphic computing relies on spike-based, energy-efficient communication, inherently implying the need for conversion between real-valued (sensory) data and binary, sparse spik…
Development of an interface for digital neuromorphic hardware based on an FPGA
René Harmann, Lukas Sohlbach, Fernando Perez-Peña +1
Exploring and understanding the functioning of the human brain is one of the greatest challenges for current research. Neuromorphic engineering tries to address this challenge by a…
Modelling and simulation of a commercially available dielectric elastomer actuator
Lukas Sohlbach, Hamza Hobbani, Chistopher Blase +2
In order to fully harness the potential of dielectric elastomer actu-ators (DEAs) in soft robots, advanced control methods are need-ed. An important groundwork for this is the deve…
Bio-inspired spike-based Hippocampus and Posterior Parietal Cortex models for robot navigation and environment pseudo-mapping
Daniel Casanueva-Morato, Alvaro Ayuso-Martinez, Juan P. Dominguez-Morales +3
The brain has a great capacity for computation and efficient resolution of complex problems, far surpassing modern computers. Neuromorphic engineering seeks to mimic the basic prin…
Low-Cost Throttle-By-Wire-System Architecture For Two-Wheeler Vehicles
Jannis Kreß, Jens Rau, Hektor Hebert +3
This paper investigates the performance of a lowcost Throttle-by-Wire-System (TbWS) for two-wheeler applications. Mopeds/scooters are still restricted environmentally harmful. Thro…
ETLP: Event-based Three-factor Local Plasticity for online learning with neuromorphic hardware
Fernando M. Quintana, Fernando Perez-Peña, Pedro L. Galindo +3
Neuromorphic perception with event-based sensors, asynchronous hardware and spiking neurons is showing promising results for real-time and energy-efficient inference in embedded sy…
Real-time detection of uncalibrated sensors using Neural Networks
Luis J. Muñoz-Molina, Ignacio Cazorla-Piñar, Juan P. Dominguez-Morales +1
Nowadays, sensors play a major role in several contexts like science, industry and daily life which benefit of their use. However, the retrieved information must be reliable. Anoma…
Neuromorphic adaptive spiking CPG towards bio-inspired locomotion of legged robots
Pablo Lopez-Osorio, Alberto Patino-Saucedo, Juan P. Dominguez-Morales +2
In recent years, locomotion mechanisms exhibited by vertebrate animals have been the inspiration for the improvement in the performance of robotic systems. These mechanisms include…
NeuroPod: a real-time neuromorphic spiking CPG applied to robotics
Daniel Gutierrez-Galan, Juan Pedro Dominguez-Morales, Fernando Perez-Pena +1
Initially, robots were developed with the aim of making our life easier, carrying out repetitive or dangerous tasks for humans. Although they were able to perform these tasks, the…