User observation & dataset collection for robot training

Personal robots have many things to learn and require a large quantity of data to learn them. Whether learning by demonstration, by trial and error, or collecting datasets for perception, robots will need to collect vast amounts of data without burdening the subjects. The parallels between gathering...

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Bibliographic Details
Published in:	2011 6th ACM/IEEE International Conference on Human-Robot Interaction (HRI) pp. 217 - 218
Main Author:	Pantofaru, C.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.03.2011
Subjects:	Computer vision Humans Lasers Measurement Robot sensing systems Training
ISBN:	1467343935, 9781467343930
ISSN:	2167-2121
Online Access:	Get full text
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