Zobrazeno 1 - 10
of 104
pro vyhledávání: '"Benjamin Schrauwen"'
Autor:
Alexander T. Spröwitz, Alexandre Tuleu, Mostafa Ajallooeian, Massimo Vespignani, Rico Möckel, Peter Eckert, Michiel D'Haene, Jonas Degrave, Arne Nordmann, Benjamin Schrauwen, Jochen Steil, Auke Jan Ijspeert
Publikováno v:
Frontiers in Robotics and AI, Vol 5 (2018)
We present Oncilla robot, a novel mobile, quadruped legged locomotion machine. This large-cat sized, 5.1 kg robot is one of a kind of a recent, bioinspired legged robot class designed with the capability of model-free locomotion control. Animal legge
Externí odkaz:
https://doaj.org/article/cef7b9ecd8de4dc696a13909e51078ba
Publikováno v:
PLoS ONE, Vol 9, Iss 1, p e86696 (2014)
Several fields of study are concerned with uniting the concept of computation with that of the design of physical systems. For example, a recent trend in robotics is to design robots in such a way that they require a minimal control effort. Another e
Externí odkaz:
https://doaj.org/article/32eda949ce234cb8b9ddb05e20a32399
Autor:
Pieter-Jan Kindermans, Martijn Schreuder, Benjamin Schrauwen, Klaus-Robert Müller, Michael Tangermann
Publikováno v:
PLoS ONE, Vol 9, Iss 7, p e102504 (2014)
Despite several approaches to realize subject-to-subject transfer of pre-trained classifiers, the full performance of a Brain-Computer Interface (BCI) for a novel user can only be reached by presenting the BCI system with data from the novel user. In
Externí odkaz:
https://doaj.org/article/a12fdb85eef24d46a5cefdbf59541402
Publikováno v:
PLoS ONE, Vol 7, Iss 4, p e33758 (2012)
This work introduces a novel classifier for a P300-based speller, which, contrary to common methods, can be trained entirely unsupervisedly using an Expectation Maximization approach, eliminating the need for costly dataset collection or tedious cali
Externí odkaz:
https://doaj.org/article/992805ac18974a639990763cba9842a8
Publikováno v:
Neural Computation. 26:1055-1079
In the field of neural network simulation techniques, the common conception is that spiking neural network simulators can be divided in two categories: time-step-based and event-driven methods. In this letter, we look at state-of-the art simulation t
Publikováno v:
BIOLOGICAL CYBERNETICS
Dynamical systems which generate periodic signals are of interest as models of biological central pattern generators and in a number of robotic applications. A basic functionality that is required in both biological modelling and robotics is frequenc
Publikováno v:
IEEE Transactions on Biomedical Engineering. 60:2696-2705
In recent years, in an attempt to maximize performance, machine learning approaches for event-related potential (ERP) spelling have become more and more complex. In this paper, we have taken a step back as we wanted to improve the performance without
Autor:
Benjamin Schrauwen, Charles R. Day, James C. Austin, Peter W. Haycock, John B. Butcher, David Verstraeten
Publikováno v:
Computer-Aided Civil and Infrastructure Engineering. 29:191-207
This article discusses how detecting defects within reinforced concrete is vital to the safety and durability of infrastructure. A non-invasive technique, ElectroMagnetic Anomaly Detection (EMAD) is used in this article to provide information into th
Publikováno v:
Neural Networks. 38:76-89
Random projection architectures such as Echo state networks (ESNs) and Extreme Learning Machines (ELMs) use a network containing a randomly connected hidden layer and train only the output weights, overcoming the problems associated with the complex
Publikováno v:
Artificial Life. 19:35-66
Embodiment has led to a revolution in robotics by not thinking of the robot body and its controller as two separate units, but taking into account the interaction of the body with its environment. By investigating the effect of the body on the overal