Recognition of large work objects in difficult industrial environments

Yasushi Sumi; Mikko Sallinen; Matti Sirviö; Jukka Väinölä

doi:10.1109/ICSMC.2004.1401033

Recognition of large work objects in difficult industrial environments

Yasushi Sumi
, Mikko Sallinen
, Matti Sirviö
, Jukka Väinölä

VTT Technical Research Centre of Finland

VTT (former employee or external)
National Institute of Advanced Industrial Science and Technology (AIST)

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

5 Citations (Scopus)

Abstract

This paper presents a method for recognizing the very large work objects in difficult industrial environments. An automatic industrial robot workcell where the single production is manufactured requires fast and flexible recognition of work objects. The purpose of the workcell is to manufacture moulds and billets for prototype and short series castings so the requirements for flexibility and reliability are high. To solve this problem, we have examined a stereo-vision-based object localization system which has several features suitable for actual robotic workcells. In this paper, we also propose an effective subpixel edge estimation method for improving the accuracy of 3-D measurement by the stereo vision. Then, we provide experimental results on localizing a large work object to demonstrate the performance of the system in a difficult industrial environment.

Original language	English
Title of host publication	2004 IEEE International Conference on Systems, Man and Cybernetics
Publisher	IEEE Institute of Electrical and Electronic Engineers
Pages	5285-5289
ISBN (Print)	0-7803-8567-5
DOIs	https://doi.org/10.1109/ICSMC.2004.1401033
Publication status	Published - 2004
MoE publication type	A4 Article in a conference publication
Event	2004 IEEE International Conference on Systems, Man and Cybernetics (SMC 2004) - The Hague, Netherlands Duration: 10 Oct 2004 → 13 Oct 2004

Publication series

Series	Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
ISSN	0884-3627

Conference

Conference	2004 IEEE International Conference on Systems, Man and Cybernetics (SMC 2004)
Country/Territory	Netherlands
City	The Hague
Period	10/10/04 → 13/10/04

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

object recognition
robot workcell
large work objects
industrial environment
stereo vision

Access to Document

10.1109/ICSMC.2004.1401033

Cite this

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title = "Recognition of large work objects in difficult industrial environments",

abstract = "This paper presents a method for recognizing the very large work objects in difficult industrial environments. An automatic industrial robot workcell where the single production is manufactured requires fast and flexible recognition of work objects. The purpose of the workcell is to manufacture moulds and billets for prototype and short series castings so the requirements for flexibility and reliability are high. To solve this problem, we have examined a stereo-vision-based object localization system which has several features suitable for actual robotic workcells. In this paper, we also propose an effective subpixel edge estimation method for improving the accuracy of 3-D measurement by the stereo vision. Then, we provide experimental results on localizing a large work object to demonstrate the performance of the system in a difficult industrial environment.",

keywords = "object recognition, robot workcell, large work objects, industrial environment, stereo vision",

author = "Yasushi Sumi and Mikko Sallinen and Matti Sirvi{\"o} and Jukka V{\"a}in{\"o}l{\"a}",

year = "2004",

doi = "10.1109/ICSMC.2004.1401033",

language = "English",

isbn = "0-7803-8567-5",

series = "Proceedings of the IEEE International Conference on Systems, Man and Cybernetics",

publisher = "IEEE Institute of Electrical and Electronic Engineers",

pages = "5285--5289",

booktitle = "2004 IEEE International Conference on Systems, Man and Cybernetics",

address = "United States",

note = "2004 IEEE International Conference on Systems, Man and Cybernetics (SMC 2004) ; Conference date: 10-10-2004 Through 13-10-2004",

}

Sumi, Y, Sallinen, M, Sirviö, M & Väinölä, J 2004, Recognition of large work objects in difficult industrial environments. in 2004 IEEE International Conference on Systems, Man and Cybernetics. IEEE Institute of Electrical and Electronic Engineers, Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, pp. 5285-5289, 2004 IEEE International Conference on Systems, Man and Cybernetics (SMC 2004), The Hague, Netherlands, 10/10/04. https://doi.org/10.1109/ICSMC.2004.1401033

Recognition of large work objects in difficult industrial environments. / Sumi, Yasushi; Sallinen, Mikko; Sirviö, Matti et al.
2004 IEEE International Conference on Systems, Man and Cybernetics. IEEE Institute of Electrical and Electronic Engineers, 2004. p. 5285-5289 (Proceedings of the IEEE International Conference on Systems, Man and Cybernetics).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Recognition of large work objects in difficult industrial environments

AU - Sumi, Yasushi

AU - Sallinen, Mikko

AU - Sirviö, Matti

AU - Väinölä, Jukka

PY - 2004

Y1 - 2004

N2 - This paper presents a method for recognizing the very large work objects in difficult industrial environments. An automatic industrial robot workcell where the single production is manufactured requires fast and flexible recognition of work objects. The purpose of the workcell is to manufacture moulds and billets for prototype and short series castings so the requirements for flexibility and reliability are high. To solve this problem, we have examined a stereo-vision-based object localization system which has several features suitable for actual robotic workcells. In this paper, we also propose an effective subpixel edge estimation method for improving the accuracy of 3-D measurement by the stereo vision. Then, we provide experimental results on localizing a large work object to demonstrate the performance of the system in a difficult industrial environment.

AB - This paper presents a method for recognizing the very large work objects in difficult industrial environments. An automatic industrial robot workcell where the single production is manufactured requires fast and flexible recognition of work objects. The purpose of the workcell is to manufacture moulds and billets for prototype and short series castings so the requirements for flexibility and reliability are high. To solve this problem, we have examined a stereo-vision-based object localization system which has several features suitable for actual robotic workcells. In this paper, we also propose an effective subpixel edge estimation method for improving the accuracy of 3-D measurement by the stereo vision. Then, we provide experimental results on localizing a large work object to demonstrate the performance of the system in a difficult industrial environment.

KW - object recognition

KW - robot workcell

KW - large work objects

KW - industrial environment

KW - stereo vision

U2 - 10.1109/ICSMC.2004.1401033

DO - 10.1109/ICSMC.2004.1401033

M3 - Conference article in proceedings

SN - 0-7803-8567-5

T3 - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics

SP - 5285

EP - 5289

BT - 2004 IEEE International Conference on Systems, Man and Cybernetics

PB - IEEE Institute of Electrical and Electronic Engineers

T2 - 2004 IEEE International Conference on Systems, Man and Cybernetics (SMC 2004)

Y2 - 10 October 2004 through 13 October 2004

ER -

Sumi Y, Sallinen M, Sirviö M, Väinölä J. Recognition of large work objects in difficult industrial environments. In 2004 IEEE International Conference on Systems, Man and Cybernetics. IEEE Institute of Electrical and Electronic Engineers. 2004. p. 5285-5289. (Proceedings of the IEEE International Conference on Systems, Man and Cybernetics). doi: 10.1109/ICSMC.2004.1401033

Recognition of large work objects in difficult industrial environments

Abstract

Publication series

Conference

UN SDGs

Keywords

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