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Supporting Semantic Capture during Kinesthetic Teaching of Collaborative Industrial Robots

Stenmark, Maj LU ; Haage, Mathias LU ; Topp, Elin A. LU and Malec, Jacek LU (2017) 11th International Conference on Semantic Computing,IEEE ICSC 2017 In Proceedings of IEEE International Conference on Semantic Computing p.366-371
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... (More)

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.

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Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
high-level programming, Industrial robots, kinesthetic teaching, Semantic action representation
in
Proceedings of IEEE International Conference on Semantic Computing
pages
6 pages
publisher
Institute of Electrical and Electronics Engineers Inc.
conference name
11th International Conference on Semantic Computing,IEEE ICSC 2017
external identifiers
  • scopus:85018359023
  • wos:000403391300069
ISBN
9781509048960
DOI
10.1109/ICSC.2017.40
language
English
LU publication?
yes
id
3e504fb9-62ce-44c2-a4c7-4a79228519c0
date added to LUP
2016-12-15 16:18:13
date last changed
2018-04-18 12:43:48
@inproceedings{3e504fb9-62ce-44c2-a4c7-4a79228519c0,
  abstract     = {<p>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.</p>},
  author       = {Stenmark, Maj and Haage, Mathias and Topp, Elin A. and Malec, Jacek},
  booktitle    = {Proceedings of IEEE International Conference on Semantic Computing},
  isbn         = {9781509048960},
  keyword      = {high-level programming,Industrial robots,kinesthetic teaching,Semantic action representation},
  language     = {eng},
  month        = {03},
  pages        = {366--371},
  publisher    = {Institute of Electrical and Electronics Engineers Inc.},
  title        = {Supporting Semantic Capture during Kinesthetic Teaching of Collaborative Industrial Robots},
  url          = {http://dx.doi.org/10.1109/ICSC.2017.40},
  year         = {2017},
}