DocumentCode
3704713
Title
Babybot challenge: Motor skills
Author
Patricia Shaw;Daniel Lewkowicz;Alexandros Giagkos;James Law;Suresh Kumar;Mark Lee; Qiang Shen;Christian De Masson d´Autume
Author_Institution
Dept. of Comput. Sci., Aberystwyth Univ., Aberystwyth, UK
fYear
2015
Firstpage
47
Lastpage
54
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.
Keywords
"Muscles","Data models","Visualization","Pediatrics","Electronic mail","Robot sensing systems"
Publisher
ieee
Conference_Titel
Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2015 Joint IEEE International Conference on
Type
conf
DOI
10.1109/DEVLRN.2015.7346114
Filename
7346114
Link To Document