Angelo Cangelosi

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davide maroccoUniversity of Naples Federico IIVerified email at unina.it
Alessandro Di NuovoProfessor of Machine Intelligence, Sheffield Hallam University (UK)Verified email at shu.ac.uk
Tony BelpaemeGhent University / imecVerified email at ugent.be
Domenico ParisiInstitute of Cognitive Sciences and Technologies National Research Council, Italy, RomeVerified email at istc.cnr.it
Anthony F MorseUniversity of PlymouthVerified email at plymouth.ac.uk
Martin H FischerProfessor of Cognitive Sciences, University of Potsdam, GermanyVerified email at uni-potsdam.de
Massimiliano PatacchiolaTools for Humanity, Senior AI Research EngineerVerified email at toolsforhumanity.com
Vadim TikhanoffIstituto Italiano di TecnologiaVerified email at iit.it
Stefano NolfiResearch Director, National Research CouncilVerified email at istc.cnr.it
Giorgio MettaScientific Director, Istituto Italiano di TecnologiaVerified email at iit.it
Eduardo CoutinhoUniversity of LiverpoolVerified email at liverpool.ac.uk
Chenguang YangChair Professor in Robotics, Fellow of IEEE, IET, IMechE, AIAA, BCSVerified email at ieee.org
Marta RomeoHeriot-Watt UniversityVerified email at hw.ac.uk
Kenny CoventryProfessor of Psychology, School of Psychology, University of East Anglia, UKVerified email at uea.ac.uk
Rob EllisVerified email at plymouth.ac.uk
Xiaofeng LiuCollege of IoT Engineering, Hohai UniversityVerified email at hhu.edu.cn
Junpei ‘Joni’ ZhongUniversity of Wollongong (College HK)Verified email at ieee.org
Santo F. Di NuovoUniversity of CataniaVerified email at unict.it
Stevan HarnadUniversité du Québec à Montréal & U. SouthamptonVerified email at uqam.ca
Fabio RuiniBarilla G. e R. Fratelli S.p.A.Verified email at barilla.com

Angelo Cangelosi

Professor of Machine Learning and Robotics, University of Manchester

Verified email at manchester.ac.uk - Homepage

Artificial intelligence robotics machine learning cognitive science


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Simulating the evolution of language A Cangelosi, D Parisi Springer Science & Business Media, 2012	647	2012
Developmental robotics: From babies to robots A Cangelosi, M Schlesinger MIT press, 2015	565	2015
The adaptive advantage of symbolic theft over sensorimotor toil: Grounding language in perceptual categories A Cangelosi, S Harnad John Benjamins Publishing Company, 2002	346	2002
The emergence of a'language'in an evolving population of neural networks A Cangelosi, D Parisi Connection Science 10 (2), 83-97, 1998	321	1998
The mechanics of embodiment: A dialog on embodiment and computational modeling G Pezzulo, LW Barsalou, A Cangelosi, MH Fischer, K McRae, MJ Spivey Frontiers in psychology 2, 5, 2011	302	2011
Computational grounded cognition: a new alliance between grounded cognition and computational modeling G Pezzulo, LW Barsalou, A Cangelosi, MH Fischer, K McRae, MJ Spivey Frontiers in psychology 3, 612, 2013	264	2013
Head pose estimation in the wild using convolutional neural networks and adaptive gradient methods M Patacchiola, A Cangelosi Pattern Recognition 71, 132-143, 2017	262	2017
Integration of action and language knowledge: A roadmap for developmental robotics A Cangelosi, G Metta, G Sagerer, S Nolfi, C Nehaniv, K Fischer, J Tani, ... IEEE Transactions on Autonomous Mental Development 2 (3), 167-195, 2010	238	2010
Evolution of communication and language using signals, symbols, and words A Cangelosi IEEE Transactions on Evolutionary Computation 5 (2), 93-101, 2001	227	2001
Cell division and migration in a'genotype'for neural networks A Cangelosi, D Parisi, S Nolfi Network: computation in neural systems 5 (4), 497, 1994	224	1994
Affordances in psychology, neuroscience, and robotics: A survey L Jamone, E Ugur, A Cangelosi, L Fadiga, A Bernardino, J Piater, ... IEEE Transactions on Cognitive and Developmental Systems 10 (1), 4-25, 2016	222	2016
An open-source simulator for cognitive robotics research: the prototype of the iCub humanoid robot simulator V Tikhanoff, A Cangelosi, P Fitzpatrick, G Metta, L Natale, F Nori Proceedings of the 8th workshop on performance metrics for intelligent …, 2008	213	2008
Musical emotions: predicting second-by-second subjective feelings of emotion from low-level psychoacoustic features and physiological measurements. E Coutinho, A Cangelosi Emotion 11 (4), 921, 2011	210	2011
An embodied model for sensorimotor grounding and grounding transfer: Experiments with epigenetic robots A Cangelosi, T Riga Cognitive science 30 (4), 673-689, 2006	205	2006
Human–robot collaboration and machine learning: A systematic review of recent research F Semeraro, A Griffiths, A Cangelosi Robotics and Computer-Integrated Manufacturing 79, 102432, 2023	203	2023
Reynolds flocking in reality with fixed-wing robots: communication range vs. maximum turning rate S Hauert, S Leven, M Varga, F Ruini, A Cangelosi, JC Zufferey, ... 2011 IEEE/RSJ international conference on intelligent robots and systems …, 2011	187	2011
From robotic toil to symbolic theft: grounding transfer from entry-level to higher-level categories1 A Cangelosi, A Greco, S Harnad Connection science 12 (2), 143-162, 2000	184	2000
Symbol grounding and the symbolic theft hypothesis A Cangelosi, A Greco, S Harnad Simulating the evolution of language, 191-210, 2002	151	2002
Robotic services acceptance in smart environments with older adults: user satisfaction and acceptability study F Cavallo, R Esposito, R Limosani, A Manzi, R Bevilacqua, E Felici, ... Journal of medical Internet research 20 (9), e9460, 2018	140	2018
Grounding language in action and perception: From cognitive agents to humanoid robots A Cangelosi Physics of life reviews 7 (2), 139-151, 2010	128	2010

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