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The Challenges and Opportunities of Human-Centered AI for Trustworthy Robots and Autonomous Systems


May 07, 2021
Hongmei He, John Gray, Angelo Cangelosi, Qinggang Meng, T. Martin McGinnity, Jörn Mehnen

* 15 pages, 4 figures 

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When Would You Trust a Robot? A Study on Trust and Theory of Mind in Human-Robot Interactions


Jan 26, 2021
Wenxuan Mou, Martina Ruocco, Debora Zanatto, Angelo Cangelosi

* 7 pages, 4 figures, conference 

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A Robot that Counts Like a Child -- a Developmental Model of Counting and Pointing


Aug 05, 2020
Leszek Pecyna, Angelo Cangelosi, Alessandro Di Nuovo

* 28 pages, 13 figures. Submitted to Psychological Research journal 

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Towards a self-organizing pre-symbolic neural model representing sensorimotor primitives


Jul 12, 2020
Junpei Zhong, Angelo Cangelosi, Stefan Wermter

* Frontiers in behavioral neuroscience, 8, 22 (2014) 

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Human activity recognition from skeleton poses


Aug 20, 2019
Frederico Belmonte Klein, Angelo Cangelosi

* 8 pages, 1 figure 

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Sample-efficient Deep Reinforcement Learning with Imaginary Rollouts for Human-Robot Interaction


Aug 15, 2019
Mohammad Thabet, Massimiliano Patacchiola, Angelo Cangelosi

* Accepted for IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019) 

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Influence of Pointing on Learning to Count: A Neuro-Robotics Model


Jul 09, 2019
Leszek Pecyna, Angelo Cangelosi

* 8 pages, 5 figures. In Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence (SSCI) (pp. 358-365). IEEE 

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A Deep Neural Network for Finger Counting and Numerosity Estimation


Jul 09, 2019
Leszek Pecyna, Angelo Cangelosi, Alessandro Di Nuovo

* 8 pages, conference 

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Encoding Longer-term Contextual Multi-modal Information in a Predictive Coding Model


Apr 17, 2018
Junpei Zhong, Tetsuya Ogata, Angelo Cangelosi

* Submitted to ICDL/EpiRob 2018 (8th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics ) 

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AFA-PredNet: The action modulation within predictive coding


Apr 11, 2018
Junpei Zhong, Angelo Cangelosi, Xinzheng Zhang, Tetsuya Ogata

* Accepted: International Joint Conference on Neural Networks (IJCNN 2018) 

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Autonomous Quadrotor Landing using Deep Reinforcement Learning


Feb 27, 2018
Riccardo Polvara, Massimiliano Patacchiola, Sanjay Sharma, Jian Wan, Andrew Manning, Robert Sutton, Angelo Cangelosi

* The actual copy of the manuscript is a revised version resubmitted to IROS 

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Emotion Recognition in the Wild using Deep Neural Networks and Bayesian Classifiers


Sep 12, 2017
Luca Surace, Massimiliano Patacchiola, Elena Battini Sönmez, William Spataro, Angelo Cangelosi

* accepted by the Fifth Emotion Recognition in the Wild (EmotiW) Challenge 2017 

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Where is my forearm? Clustering of body parts from simultaneous tactile and linguistic input using sequential mapping


Jun 08, 2017
Karla Stepanova, Matej Hoffmann, Zdenek Straka, Frederico B. Klein, Angelo Cangelosi, Michal Vavrecka

* pp. 155-162 

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Toward Abstraction from Multi-modal Data: Empirical Studies on Multiple Time-scale Recurrent Models


Feb 07, 2017
Junpei Zhong, Angelo Cangelosi, Tetsuya Ogata

* Accepted by IJCNN 2017 

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A Hierarchical Emotion Regulated Sensorimotor Model: Case Studies


May 11, 2016
Junpei Zhong, Rony Novianto, Mingjun Dai, Xinzheng Zhang, Angelo Cangelosi

* Accepted at The 5th International Conference on Data-Driven Control and Learning Systems. 2016 

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Sensorimotor Input as a Language Generalisation Tool: A Neurorobotics Model for Generation and Generalisation of Noun-Verb Combinations with Sensorimotor Inputs


May 11, 2016
Junpei Zhong, Martin Peniak, Jun Tani, Tetsuya Ogata, Angelo Cangelosi

* Submitted to Autonomous Robots 

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A cognitive neural architecture able to learn and communicate through natural language


Jun 22, 2015
Bruno Golosio, Angelo Cangelosi, Olesya Gamotina, Giovanni Luca Masala

* PLoS ONE 10 (2015) e0140866 
* The source code of the software, the User Guide and the datasets used for its validation are available in the ANNABELL web site at https://github.com/golosio/annabell/wiki 

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Cross-situational and supervised learning in the emergence of communication


Nov 28, 2009
José F. Fontanari, Angelo Cangelosi

* Interaction Studies: Social Behaviour and Communication in Biological and Artificial Systems, 12, 119-133 (2011) 

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