This paper presents a spike-based control system applied to a fixed robotic platform. Our aim is to take a step forward to a future complete spikes processing architecture, from vision to direct motor actuation. This paper covers the processing and actuation layer over an anthropomorphic robot. In this way, the processing layer uses the neuro-inspired VITE algorithm, for reaching a target, based on PFM taking advantage of spike system information: its frequency. Thus, all the blocks of the system are based on spikes. Each layer is implemented within a FPGA board and spikes communication is codified under the AER protocol. The results show an accurate behavior of the robotic platform with 6-bit resolution for a 130º range per joint,...
In this work, a neural structure has been implemented into a device based on the new trends in hardw...
In this paper, we present two versions of a hardware processing architecture for modeling large netw...
Bio-Inspired and Neuro-Inspired systems or circuits are a relatively novel approaches to solve real...
This paper presents an implementation of a neuro-inspired algorithm called VITE (Vector Integration...
In this paper we present a complete spike-based architecture: from a Dynamic Vision Sensor (retina) ...
Spike-based motor control is very important in the field of robotics and also for the neuromorphic ...
Neuromorphic engineers aim to mimic the precise and efficient mechanisms of the nervous system to p...
The objective of this thesis is to analyze, design, simulate and implement a model that follows the ...
Neuromorphic engineering tries to mimic biological information processing. Address-Event Representa...
Address-Event-Representation (AER) is a bio-inspired communication protocol between chips. A set of...
This paper presents an approach to open-loop motor control using Integrate and Fire (IF) neurons. T...
Compared to classic robotics, biological nervous systems respond to stimuli in a fast and efficient ...
Neuromorphic engineering is a growing and promising discipline nowadays. Neuro-inspiration and bra...
Neuromorphic engineers study models and implementations of systems that mimic neurons behavior in t...
Compared to classic robotics, biological nervous systems respond to stimuli in a fast and efficient ...
In this work, a neural structure has been implemented into a device based on the new trends in hardw...
In this paper, we present two versions of a hardware processing architecture for modeling large netw...
Bio-Inspired and Neuro-Inspired systems or circuits are a relatively novel approaches to solve real...
This paper presents an implementation of a neuro-inspired algorithm called VITE (Vector Integration...
In this paper we present a complete spike-based architecture: from a Dynamic Vision Sensor (retina) ...
Spike-based motor control is very important in the field of robotics and also for the neuromorphic ...
Neuromorphic engineers aim to mimic the precise and efficient mechanisms of the nervous system to p...
The objective of this thesis is to analyze, design, simulate and implement a model that follows the ...
Neuromorphic engineering tries to mimic biological information processing. Address-Event Representa...
Address-Event-Representation (AER) is a bio-inspired communication protocol between chips. A set of...
This paper presents an approach to open-loop motor control using Integrate and Fire (IF) neurons. T...
Compared to classic robotics, biological nervous systems respond to stimuli in a fast and efficient ...
Neuromorphic engineering is a growing and promising discipline nowadays. Neuro-inspiration and bra...
Neuromorphic engineers study models and implementations of systems that mimic neurons behavior in t...
Compared to classic robotics, biological nervous systems respond to stimuli in a fast and efficient ...
In this work, a neural structure has been implemented into a device based on the new trends in hardw...
In this paper, we present two versions of a hardware processing architecture for modeling large netw...
Bio-Inspired and Neuro-Inspired systems or circuits are a relatively novel approaches to solve real...