Object Identification for Task-Oriented Communication with Industrial Robots.

ABSTRACT: To make the human-robot collaboration effective, it may be necessary to provide robots with "senses" like vision and hearing. Task-oriented man-machine speech communication often relies on the use of abstract terms to describe objects. Therefore it is necessary to correctly map those terms into images of proper objects in a camera's field of view. This paper presents the results of our research in this field. A novel method for contour identification, based on flexible editable contour templates (FECT), has been developed. We demonstrate that existing methods are not appropriate for this purpose because it is difficult to formulate general rules that humans employ to rank shapes into proper classes. Therefore, the rules for shape classification should be individually formulated by the user

SUBMITTER: Rogowski A 

PROVIDER: S-EPMC7147712 | biostudies-literature | 2020 Mar

REPOSITORIES: biostudies-literature