Abstract
This short paper describes an approach for collecting a dataset of hand’s pictures and training a Deep Learning network that could enable the iCub robot to count on its fingers using solely its own cameras. Such a skill, mimicking children’s habits, can support arithmetic learning in a baby robot, an important step in creating artificial intelligence for robots that could learn like children in the context of cognitive developmental robotics. Preliminary results show the approach is promising in terms of accuracy.
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References
Asada, M., et al.: Cognitive developmental robotics as a new paradigm for the design of humanoid robots. Robot. Auton. Syst. 37(2–3), 185–193 (2001)
Cangelosi, A., Schlesinger, M.: Developmental Robotics: From Babies to Robots. MIT Press, Cambridge (2015)
Dantzig, T.: Number-The Language of Science. Free Press, New York (1954)
Fischer, M.H., et al.: Finger Counting and Numerical Cognition. Front. Psychol. 3, 108 (2012)
Goldin-Meadow, S., et al.: Gesture’s role in learning arithmetic. In: Edwards, L.D., et al. (eds.) Emerging Perspectives on Gesture and Embodiment in Mathematics, pp. 51–72. Information Age Publishing, Charlotte (2014)
De La Cruz, V.M. et al.: Making fingers and words count in a cognitive robot. Front. Behav. Neurosci. 8, 12 pages (2014)
Leitner, J. et al.: Humanoid learns to detect its own hands. In: 2013 IEEE Congress Evolutionary Computation, CEC 2013, pp. 1411–1418 (2013)
Di Nuovo, A., Jay, T.: The development of numerical cognition in children and artificial systems: a review of the current knowledge and proposals for multi-disciplinary research. IET Cogn. Comput. Syst. 1, 2–11 (2019)
Soylu, F., et al.: You can count on your fingers: the role of fingers in early mathematical development. J. Numer. Cogn. 4(1), 2363–8761 (2018)
Vicente, P., et al.: Robotic hand pose estimation based on stereo vision and GPU-enabled internal graphical simulation. J. Intell. Robot. Syst. 83(3–4), 339–358 (2016)
Acknowledgments
This work has been supported by the EPSRC through the grant no. EP/P030033/1 (NUMBERS). Authors are grateful to the NVIDIA Corporation for donating GeForce GTX TITAN X that has been used to accelerate the computation.
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Lucas, A., Ricolfe-Viala, C., Di Nuovo, A. (2019). Preliminary Investigation on Visual Finger-Counting with the iCub Robot Cameras and Hands. In: Althoefer, K., Konstantinova, J., Zhang, K. (eds) Towards Autonomous Robotic Systems. TAROS 2019. Lecture Notes in Computer Science(), vol 11650. Springer, Cham. https://doi.org/10.1007/978-3-030-25332-5_46
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DOI: https://doi.org/10.1007/978-3-030-25332-5_46
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