Babybot Challenge: Motor Skills

Patricia Shaw; Daniel Lewkowicz; Alexandros Giagkos; James Law; Suresh Kumar; Christian De Masson d' Autume; Mark Lee; Qiang Shen

doi:10.1109/DEVLRN.2015.7346114

Babybot Challenge: Motor Skills

Patricia Shaw, Daniel Lewkowicz, Alexandros Giagkos, James Law, Suresh Kumar, Christian De Masson d' Autume, Mark Lee, Qiang Shen

Department of Computer Science

University of Sheffield

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

6 Citations (Scopus)

Abstract

In 1984, von Hofsten performed a longitudinal study of early reaching in infants between the ages of 1 week and 19 weeks. This paper proposes a possible model using excitation of various subsystems to reproduce the longitudinal study. The
model is then implemented and tested on an iCub humanoid robot, and the results compared to the original study. The resulting model shares interesting similarities to the data presented by von Hofsten, in particular a slight dip in the quantity of reaching. However, the dip is shifted along by a few weeks, and the analysis of hand behaviour is inconclusive based on the data recorded.

Original language	English
Title of host publication	5th Joint International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2015
Place of Publication	Providence, RI USA
Publisher	IEEE Press
Pages	47-54
Number of pages	8
ISBN (Electronic)	9781467393201
ISBN (Print)	978-1-4673-9319-5
DOIs	https://doi.org/10.1109/DEVLRN.2015.7346114
Publication status	Published - 02 Dec 2015
Event	IEEE ICDL - EPIROB 2015, 5th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics - Brown University, Providence, Rhode Island, United States of America Duration: 13 Aug 2015 → 16 Aug 2015

Publication series

Name	5th Joint International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2015

Conference

Conference	IEEE ICDL - EPIROB 2015, 5th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics
Country/Territory	United States of America
Period	13 Aug 2015 → 16 Aug 2015

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10.1109/DEVLRN.2015.7346114

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Shaw, P., Lewkowicz, D., Giagkos, A., Law, J., Kumar, S., De Masson d' Autume, C., Lee, M., & Shen, Q. (2015). Babybot Challenge: Motor Skills. In 5th Joint International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2015 (pp. 47-54). Article 7346114 (5th Joint International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2015). IEEE Press. https://doi.org/10.1109/DEVLRN.2015.7346114

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title = "Babybot Challenge: Motor Skills",

abstract = "In 1984, von Hofsten performed a longitudinal study of early reaching in infants between the ages of 1 week and 19 weeks. This paper proposes a possible model using excitation of various subsystems to reproduce the longitudinal study. Themodel is then implemented and tested on an iCub humanoid robot, and the results compared to the original study. The resulting model shares interesting similarities to the data presented by von Hofsten, in particular a slight dip in the quantity of reaching. However, the dip is shifted along by a few weeks, and the analysis of hand behaviour is inconclusive based on the data recorded.",

author = "Patricia Shaw and Daniel Lewkowicz and Alexandros Giagkos and James Law and Suresh Kumar and {De Masson d' Autume}, Christian and Mark Lee and Qiang Shen",

note = "Funding Information: This research is supported by the UK Engineering and Physical Sciences Research Council (EPSRC), grant No. EP/M013510/1. Publisher Copyright: {\textcopyright} 2015 IEEE.; IEEE ICDL - EPIROB 2015, 5th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics ; Conference date: 13-08-2015 Through 16-08-2015",

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Shaw, P, Lewkowicz, D, Giagkos, A, Law, J, Kumar, S, De Masson d' Autume, C, Lee, M & Shen, Q 2015, Babybot Challenge: Motor Skills. in 5th Joint International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2015., 7346114, 5th Joint International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2015, IEEE Press, Providence, RI USA, pp. 47-54, IEEE ICDL - EPIROB 2015, 5th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics, United States of America, 13 Aug 2015. https://doi.org/10.1109/DEVLRN.2015.7346114

Babybot Challenge: Motor Skills. / Shaw, Patricia; Lewkowicz, Daniel; Giagkos, Alexandros et al.
5th Joint International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2015. Providence, RI USA: IEEE Press, 2015. p. 47-54 7346114 (5th Joint International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference Proceeding (Non-Journal item)

TY - GEN

T1 - Babybot Challenge: Motor Skills

AU - Shaw, Patricia

AU - Lewkowicz, Daniel

AU - Giagkos, Alexandros

AU - Law, James

AU - Kumar, Suresh

AU - De Masson d' Autume, Christian

AU - Lee, Mark

AU - Shen, Qiang

PY - 2015/12/2

Y1 - 2015/12/2

N2 - In 1984, von Hofsten performed a longitudinal study of early reaching in infants between the ages of 1 week and 19 weeks. This paper proposes a possible model using excitation of various subsystems to reproduce the longitudinal study. Themodel is then implemented and tested on an iCub humanoid robot, and the results compared to the original study. The resulting model shares interesting similarities to the data presented by von Hofsten, in particular a slight dip in the quantity of reaching. However, the dip is shifted along by a few weeks, and the analysis of hand behaviour is inconclusive based on the data recorded.

AB - In 1984, von Hofsten performed a longitudinal study of early reaching in infants between the ages of 1 week and 19 weeks. This paper proposes a possible model using excitation of various subsystems to reproduce the longitudinal study. Themodel is then implemented and tested on an iCub humanoid robot, and the results compared to the original study. The resulting model shares interesting similarities to the data presented by von Hofsten, in particular a slight dip in the quantity of reaching. However, the dip is shifted along by a few weeks, and the analysis of hand behaviour is inconclusive based on the data recorded.

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DO - 10.1109/DEVLRN.2015.7346114

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T3 - 5th Joint International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2015

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BT - 5th Joint International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2015

PB - IEEE Press

CY - Providence, RI USA

T2 - IEEE ICDL - EPIROB 2015, 5th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics

Y2 - 13 August 2015 through 16 August 2015

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Shaw P, Lewkowicz D, Giagkos A, Law J, Kumar S, De Masson d' Autume C et al. Babybot Challenge: Motor Skills. In 5th Joint International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2015. Providence, RI USA: IEEE Press. 2015. p. 47-54. 7346114. (5th Joint International Conference on Development and Learning and Epigenetic Robotics, ICDL-EpiRob 2015). doi: 10.1109/DEVLRN.2015.7346114

Babybot Challenge: Motor Skills

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Adventures in AI

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Babybot Challenge: Motor Skills

Abstract

Publication series

Conference

Access to Document

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Adventures in AI

Cite this