Supporting Semantic Capture during Kinesthetic Teaching of Collaborative Industrial Robots

Maj Stenmark; Mathias Haage; Elin A. Topp; Jacek Malec

doi:10.1109/ICSC.2017.40

Supporting Semantic Capture during Kinesthetic Teaching of Collaborative Industrial Robots

Maj Stenmark, Mathias Haage, Elin A. Topp, Jacek Malec

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

Abstract

Industrial robot systems being deployed today do not contain domain knowledge to aid robot operators in setup and operational use. To gather such knowledge in a robot context requires mechanisms for entering and capturing semantic data, that will gradually build a working vocabulary while interacting with environment and operators, for bootstrapping system knowledge and ensuring data collection over time. This paper presents a prototype user interface, assisting kinesthetic teaching of a collaborative industrial robot, that allows for capturing semantic information while working with the robot in day-to-day use. A graphical user interface with natural language processing builds a working vocabulary of the environment while modifying and/or creating robot programs. A simple demonstration illustrates the approach.

Original language	English
Title of host publication	Proceedings of IEEE International Conference on Semantic Computing
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Pages	366-371
Number of pages	6
ISBN (Electronic)	9781509048960
DOIs	https://doi.org/10.1109/ICSC.2017.40
Publication status	Published - 2017 Mar 29
Event	11th International Conference on Semantic Computing,IEEE ICSC 2017 - San Diego, United States Duration: 2017 Jan 30 → 2017 Feb 1

Conference

Conference	11th International Conference on Semantic Computing,IEEE ICSC 2017
Country/Territory	United States
City	San Diego
Period	2017/01/30 → 2017/02/01

Subject classification (UKÄ)

Robotics and automation

Free keywords

high-level programming
Industrial robots
kinesthetic teaching
Semantic action representation

Access to Document

10.1109/ICSC.2017.40

Cite this

@inproceedings{3e504fb962ce44c2a4c74a79228519c0,

title = "Supporting Semantic Capture during Kinesthetic Teaching of Collaborative Industrial Robots",

abstract = "Industrial robot systems being deployed today do not contain domain knowledge to aid robot operators in setup and operational use. To gather such knowledge in a robot context requires mechanisms for entering and capturing semantic data, that will gradually build a working vocabulary while interacting with environment and operators, for bootstrapping system knowledge and ensuring data collection over time. This paper presents a prototype user interface, assisting kinesthetic teaching of a collaborative industrial robot, that allows for capturing semantic information while working with the robot in day-to-day use. A graphical user interface with natural language processing builds a working vocabulary of the environment while modifying and/or creating robot programs. A simple demonstration illustrates the approach.",

keywords = "high-level programming, Industrial robots, kinesthetic teaching, Semantic action representation",

author = "Maj Stenmark and Mathias Haage and Topp, {Elin A.} and Jacek Malec",

year = "2017",

month = mar,

day = "29",

doi = "10.1109/ICSC.2017.40",

language = "English",

pages = "366--371",

booktitle = "Proceedings of IEEE International Conference on Semantic Computing",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

address = "United States",

note = "11th International Conference on Semantic Computing,IEEE ICSC 2017 ; Conference date: 30-01-2017 Through 01-02-2017",

}

Stenmark, M , Haage, M , Topp, EA & Malec, J 2017, Supporting Semantic Capture during Kinesthetic Teaching of Collaborative Industrial Robots. in Proceedings of IEEE International Conference on Semantic Computing., 7889564, IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 366-371, 11th International Conference on Semantic Computing,IEEE ICSC 2017, San Diego, United States, 2017/01/30. https://doi.org/10.1109/ICSC.2017.40

Supporting Semantic Capture during Kinesthetic Teaching of Collaborative Industrial Robots. / Stenmark, Maj ; Haage, Mathias ; Topp, Elin A. et al.
Proceedings of IEEE International Conference on Semantic Computing. IEEE - Institute of Electrical and Electronics Engineers Inc., 2017. p. 366-371 7889564.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Supporting Semantic Capture during Kinesthetic Teaching of Collaborative Industrial Robots

AU - Stenmark, Maj

AU - Haage, Mathias

AU - Topp, Elin A.

AU - Malec, Jacek

PY - 2017/3/29

Y1 - 2017/3/29

N2 - Industrial robot systems being deployed today do not contain domain knowledge to aid robot operators in setup and operational use. To gather such knowledge in a robot context requires mechanisms for entering and capturing semantic data, that will gradually build a working vocabulary while interacting with environment and operators, for bootstrapping system knowledge and ensuring data collection over time. This paper presents a prototype user interface, assisting kinesthetic teaching of a collaborative industrial robot, that allows for capturing semantic information while working with the robot in day-to-day use. A graphical user interface with natural language processing builds a working vocabulary of the environment while modifying and/or creating robot programs. A simple demonstration illustrates the approach.

AB - Industrial robot systems being deployed today do not contain domain knowledge to aid robot operators in setup and operational use. To gather such knowledge in a robot context requires mechanisms for entering and capturing semantic data, that will gradually build a working vocabulary while interacting with environment and operators, for bootstrapping system knowledge and ensuring data collection over time. This paper presents a prototype user interface, assisting kinesthetic teaching of a collaborative industrial robot, that allows for capturing semantic information while working with the robot in day-to-day use. A graphical user interface with natural language processing builds a working vocabulary of the environment while modifying and/or creating robot programs. A simple demonstration illustrates the approach.

KW - high-level programming

KW - Industrial robots

KW - kinesthetic teaching

KW - Semantic action representation

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U2 - 10.1109/ICSC.2017.40

DO - 10.1109/ICSC.2017.40

M3 - Paper in conference proceeding

SP - 366

EP - 371

BT - Proceedings of IEEE International Conference on Semantic Computing

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - 11th International Conference on Semantic Computing,IEEE ICSC 2017

Y2 - 30 January 2017 through 1 February 2017

ER -

Supporting Semantic Capture during Kinesthetic Teaching of Collaborative Industrial Robots

Abstract

Conference

Subject classification (UKÄ)

Free keywords

Access to Document

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Supporting Semantic Capture during Kinesthetic Teaching of Collaborative Industrial Robots

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