Title :
Toward ‘optimal’ schemes of robot assistance to facilitate motor skill learning
Author :
Basteris, Angelo ; Sanguineti, Vittorio
Author_Institution :
Dept. of Inf., Syst., & Telecommun., Univ. of Genoa, Genoa, Italy
fDate :
Aug. 30 2011-Sept. 3 2011
Abstract :
We investigate whether and on what circumstances physical interaction with a robot may facilitate the acquisition of a novel motor skill. We focus on two different motor tasks: (i) intermanual transfer of cursive handwriting and (ii) acquisition of a putting skill. In the case of handwriting, we found that intermanual transfer is facilitated by forms of interaction that account for the temporal aspects of the movements. In the case of putting, we found that guidance is helpful in improving longitudinal error (a matter of speed accuracy), but not directional error (a matter of position accuracy). Based on these results, we draw some tentative conclusions on which tasks can benefit from guidance, and how robots should be programmed to maximize their effect.
Keywords :
learning (artificial intelligence); medical robotics; neurophysiology; cursive handwriting; intermanual transfer; longitudinal error; motor skill learning; motor task; physical interaction; putting skill; robot assistance; Accuracy; Force; Robots; Shape; Training; Trajectory; Visualization; Computer-Assisted Instruction; Humans; Learning; Man-Machine Systems; Motor Skills; Robotics;
Conference_Titel :
Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-4121-1
Electronic_ISBN :
1557-170X
DOI :
10.1109/IEMBS.2011.6090658