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pro vyhledávání: '"Martin Peniak"'
Publikováno v:
ResearcherID
The paper presents a neurorobotics cognitive model to explain the understanding and generalisation of nouns and verbs combinations when a vocal command consisting of a verb-noun sentence is provided to a humanoid robot. This generalisation process is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::947adc704745e8bc8d343e4f27762ee3
https://irep.ntu.ac.uk/id/eprint/37646/1/14818_1734a_Zhong.pdf
https://irep.ntu.ac.uk/id/eprint/37646/1/14818_1734a_Zhong.pdf
Autor:
Hagen Lehmann, Katharina J. Rohlfing, Britta Wrede, Martin Peniak, Frank Förster, Chrystopher L. Nehaniv, Joe Saunders, Vishwanathan Mohan, Vadim Tikhanoff, Giorgio Metta, Tomassino Ferrauto, Onofrio Gigliotta, Katrin Solveig Lohan, Caroline Lyon, Yo Sato, Ambra Bisio, Angelo Cangelosi, Tony Belpaeme, Davide Marocco, Arne Zeschel, Stefano Nolfi, Kerstin Dautenhahn, Gerhard Sagerer, Sascha Griffiths, Kerstin Fischer, Anthony F. Morse, Gianluca Massera, Karola Pitsch, Luciano Fadiga, Francesco Nori, Frank Broz, Alessandra Sciutti, Lars Schillingmann
Publikováno v:
Topics in cognitive science
6 (2014): 534–544. doi:10.1111/tops.12099
info:cnr-pdr/source/autori:Broz, Frank; Nehaniv, Chrystopher L.; Belpaeme, Tony; Bisio, Ambra; Dautenhahn, Kerstin; Fadiga, Luciano; Ferrauto, Tomassino; Fischer, Kerstin; Foerster, Frank; Gigliotta, Onofrio; Griffiths, Sascha; Lehmann, Hagen; Lohan, Katrin S.; Lyon, Caroline; Marocco, Davide; Massera, Gianluca; Metta, Giorgio; Mohan, Vishwanathan; Morse, Anthony; Nolfi, Stefano; Nori, Francesco; Peniak, Martin; Pitsch, Karola; Rohlfing, Katharina J.; Sagerer, Gerhard; Sato, Yo; Saunders, Joe; Schillingmann, Lars; Sciutti, Alessandra; Tikhanoff, Vadim; Wrede, Britta; Zeschel, Arne; Cangelosi, Angelo/titolo:The ITALK Project: A Developmental Robotics Approach to the Study of Individual, Social, and Linguistic Learning/doi:10.1111%2Ftops.12099/rivista:Topics in cognitive science (Print)/anno:2014/pagina_da:534/pagina_a:544/intervallo_pagine:534–544/volume:6
6 (2014): 534–544. doi:10.1111/tops.12099
info:cnr-pdr/source/autori:Broz, Frank; Nehaniv, Chrystopher L.; Belpaeme, Tony; Bisio, Ambra; Dautenhahn, Kerstin; Fadiga, Luciano; Ferrauto, Tomassino; Fischer, Kerstin; Foerster, Frank; Gigliotta, Onofrio; Griffiths, Sascha; Lehmann, Hagen; Lohan, Katrin S.; Lyon, Caroline; Marocco, Davide; Massera, Gianluca; Metta, Giorgio; Mohan, Vishwanathan; Morse, Anthony; Nolfi, Stefano; Nori, Francesco; Peniak, Martin; Pitsch, Karola; Rohlfing, Katharina J.; Sagerer, Gerhard; Sato, Yo; Saunders, Joe; Schillingmann, Lars; Sciutti, Alessandra; Tikhanoff, Vadim; Wrede, Britta; Zeschel, Arne; Cangelosi, Angelo/titolo:The ITALK Project: A Developmental Robotics Approach to the Study of Individual, Social, and Linguistic Learning/doi:10.1111%2Ftops.12099/rivista:Topics in cognitive science (Print)/anno:2014/pagina_da:534/pagina_a:544/intervallo_pagine:534–544/volume:6
This article presents results from a multidisciplinary research project on the integration and transfer of language knowledge into robots as an empirical paradigm for the study of language development in both humans and humanoid robots. Within the fr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::591bdb3517f32d8899c62ca542a4c2c4
https://publications.cnr.it/doc/305032
https://publications.cnr.it/doc/305032
Autor:
Martin Peniak, Angelo Cangelosi
Publikováno v:
Peniak, M & Cangelosi, A 2014, ' Scaling-up action learning neuro-controllers with GPUs ', pp. 2519-2524 . https://doi.org/10.1109/IJCNN.2014.6889925
IJCNN
IJCNN
Neural networks have been used in many different robot motor-control experiments, however, so far the complexity of these neuro-controllers have remained at the similar level. The focus of this paper is to demonstrate that it is possible to scale-up
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1d9e8a172a8601f424adb06cb96cc9a4
https://www.research.manchester.ac.uk/portal/en/publications/scalingup-action-learning-neurocontrollers-with-gpus(217ebd3b-0916-4218-b951-0a801b104ddd).html
https://www.research.manchester.ac.uk/portal/en/publications/scalingup-action-learning-neurocontrollers-with-gpus(217ebd3b-0916-4218-b951-0a801b104ddd).html
Publikováno v:
ICDL-EPIROB
The modelling of the integration of various cognitive skills and modalities requires complex and computationally intensive algorithms running in parallel while controlling high-performance systems. The distribution of processing across many computers
Autor:
Anthony F. Morse, Angelo Cangelosi, Salomon Ramirez-Contla, Martin Peniak, Christopher Larcombe
Publikováno v:
IJCNN
This paper presents a novel open-source software application, Aquila, developed as a part of the ITALK and RobotDoC projects. The software provides many different tools and biologically-inspired models, useful for cognitive and developmental robotics
Autor:
Martin Peniak, Davide Marocco, Barry Bentley, Dario Izzo, Francesco Biscani, Christos Ampatzis, Angelo Cangelosi
Publikováno v:
IJCNN
University of Manchester-PURE
University of Manchester-PURE
Autonomous navigation and robust obstacle avoidance are prerequisites for the successful operation of a planetary rover. Typical approaches to tackling this problem rely on complex and computationally expensive navigation strategies based upon the cr
Publikováno v:
IEEE Congress on Evolutionary Computation
University of Manchester-PURE
University of Manchester-PURE
The paper presents an evolutionary robotics model of the Rover Mars robot. This work has the objective to investigate the possibility of using an alternative sensor system, based on infrared sensors, for future rovers capable of performing autonomous
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d63fd3f1c5b5ae489879146d41f80c4
http://hdl.handle.net/11588/614997
http://hdl.handle.net/11588/614997
Autor:
Martin Peniak, Jun Taniy, Davide Marocco, Yuichi Yamashitay, Kerstin Fischerz, Angelo Cangelosi
Publikováno v:
University of Southern Denmark
Peniak, M, Marocco, D, Tani, J, Yamachita, Y, Fischer, K & Cangelosi, A 2011, ' Multiple Time Scales Recurrent Neural Network for Complex Action Acquisition ', Paper presented at ICDL/Epirob Joint Conference, Frankfurt, Germany, 24/08/2011-27/08/2011 . < http://www.frontiersin.org/10.3389/conf.fncom.2011.52.00009/event_abstract >
Peniak, M, Marocco, D, Tani, J, Yamachita, Y, Fischer, K & Cangelosi, A 2011, ' Multiple Time Scales Recurrent Neural Network for Complex Action Acquisition ', Paper presented at ICDL/Epirob Joint Conference, Frankfurt, Germany, 24/08/2011-27/08/2011 . < http://www.frontiersin.org/10.3389/conf.fncom.2011.52.00009/event_abstract >
This paper presents novel results of complex action learning experiments based on the use of extended multiple timescales recurrent neural networks (MTRNN). The experiments were carried out with the iCub humanoid robot, as a model of the developmenta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fc5634ddb5af42916703ae9493ae7b9
https://portal.findresearcher.sdu.dk/en/publications/029699a6-bd91-4607-b346-80f9a45a1a8f
https://portal.findresearcher.sdu.dk/en/publications/029699a6-bd91-4607-b346-80f9a45a1a8f