Next Article in Journal
A Method of Interstory Drift Monitoring Using a Smartphone and a Laser Device
Previous Article in Journal
Research on a Pedestrian Crossing Intention Recognition Model Based on Natural Observation Data
Open AccessArticle

Object Identification for Task-Oriented Communication with Industrial Robots

Faculty of Production Engineering, Warsaw University of Technology, ul. Narbutta 86, 02-524 Warszawa, Poland
*
Author to whom correspondence should be addressed.
Sensors 2020, 20(6), 1773; https://doi.org/10.3390/s20061773
Received: 18 February 2020 / Revised: 12 March 2020 / Accepted: 21 March 2020 / Published: 23 March 2020
(This article belongs to the Section Intelligent Sensors)
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 users for each application. Our aim was to create appropriate tool facilitating formulation of those rules as it could potentially be a very labor-intensive task. The core of our solution is FCD (flexible contour description) format for description of flexible templates. Users will be able to create and edit flexible contour templates, and thus, adjust image recognition systems to their needs, in order to provide task-oriented communication between humans and robots. View Full-Text
Keywords: image recognition; industrial robots; man-machine communication image recognition; industrial robots; man-machine communication
Show Figures

Figure 1

MDPI and ACS Style

Rogowski, A.; Skrobek, P. Object Identification for Task-Oriented Communication with Industrial Robots. Sensors 2020, 20, 1773.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop