Abstract
real items is introduced. The model allows us to investigate the interaction
between embodiment and numerical cognition. This is composed of a deep
neural network capable of image processing and sequential tasks performance,
and a robotic platform providing the embodiment - the iCub humanoid robot.
The network is trained using images from the robot's cameras and proprioceptive signals from its joints. The trained model is able to count a set of
items and at the same time points to them. We investigate the in
uence of pointing on the counting process and compare our results with those from studies with children. Several training approaches are presented in this paper all of them uses pre-training routine allowing the network to gain the ability of pointing and number recitation (from 1 to 10) prior to counting training. The impact of the counted set size and distance to the objects are investigated. The obtained results on counting performance show similarities with those from human studies.
Original language | English |
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Journal | Psychological Research |
Publication status | Accepted/In press - 23 Sept 2020 |
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RAI: Centre for Robotics and Artificial Intelligence
Cangelosi, A. (PI), Lennox, B. (PI), Weightman, A. (CoI), Dennis, L. (CoI), Dixon, C. (CoI), Fisher, M. (CoI), Herrmann, G. (CoI), Dickson, A. (CoI), Lanzon, A. (CoI), Stancu, A. (CoI), Saiani, A. (CoI), Freitas, A. (CoI), Nini, A. (CoI), Voronkov, A. (CoI), Brass, A. (CoI), Vijayaraghavan, A. (CoI), Parslew, B. (CoI), crowther, W. (CoI), Grieve, B. (CoI), Adorno, B. (CoI), Jay, C. (CoI), Wang, C. C. L. (CoI), Todd, C. (CoI), Soutis, C. (CoI), Arsene, C. (CoI), Dresner, D. (CoI), Barrett, E. (CoI), Gowen, E. (CoI), Arvin, F. (CoI), Podd, F. (CoI), Brown, G. (CoI), Reger, G. (CoI), Cooper, G. (CoI), Mairs, H. (CoI), Yin, H. (CoI), Kinloch, I. (CoI), Eleftheriou, I. (CoI), Li, J. (CoI), Carrasco Gomez, J. (CoI), Ainsworth, J. (CoI), Sinha, J. (CoI), Ozanyan, K. (CoI), Smith, K. (CoI), Twomey, K. (CoI), Margetts, L. (CoI), Ren, L. (CoI), Zhang, L. (CoI), Cordeiro, L. (CoI), Rattray, M. (PI), Bissett, M. (CoI), Elliot, M. (CoI), Alvarez, M. (CoI), Luján, M. (CoI), Nabawy BSc, MSc, PhD, MRAeS, SMAIAA, FHEA, M. (CoI), Peek, N. (CoI), Marjanovic, O. (CoI), Dorn, O. (CoI), Dudek, P. (CoI), Green, P. (CoI), Connolly, P. (CoI), Da Silva Bartolo, P. J. (CoI), Gardner, P. (CoI), Martin, P. (CoI), Potluri, P. (CoI), Curtis, R. (CoI), Schmidt, R. (CoI), Banach, R. (CoI), Batista-Navarro, R. T. (CoI), Kaski, S. (CoI), Midson, S. (CoI), Watson, S. (CoI), Holm, S. (CoI), Furber, S. (CoI), Schlegel, V. (CoI), Mirihanage, W. (CoI), Mansell, W. (CoI), Pan, W. (CoI), Sampson, W. (CoI), Sellers, W. (CoI), Yang, W. (CoI), Cai, P. (CoI), Sun, Y. (CoI), Alharthi, A. (Researcher), Macario Rojas, A. (Researcher), Serhan, B. (Researcher), Yu, C. (Researcher), Abara, D. (Researcher), Lopez Pulgarin, E. (Researcher), Faruq, F. (Researcher), Tavella, F. (Researcher), Semeraro, F. (Researcher), Liu, G. (Researcher), Fang, G. (Researcher), Niu, H. (Researcher), Taylor, H. (PI), Zhu, H. (PGR student), Collenette, J. (Researcher), Amano, K. (Researcher), Lo, K. C. J. (PGR student), Raggioli, L. (Researcher), Romeo, M. (Researcher), Ruocco, M. (PGR student), Ghaffari Saadat, M. (Researcher), Walmsley, M. (Researcher), Mubarik, A. (Researcher), Vinanzi, S. (Researcher), Su, Y.-H. (PGR student), McAleese, H. (PGR student), Stringer, P. (PGR student), Stoican, R. (PGR student), Ye, R. (PGR student), Kurawa, S. S. (PGR student), Zhang, T. (PGR student), Krywonos, W. (PGR student), Xu, Y. (PGR student), Tian, Y. (PGR student), Henderson, A. (Technical team), Morley, D. (Support team), Tallentire, J. (Support team), Smith, J. (Support team), Hawthornthwaite, S. (Support team), Carlson, J. (Support team) & Baniqued, P. D. (Researcher)
Project: Research