Knowledge-Based Instruction of Manipulation Tasks for Industrial Robotics
(2015) In Robotics and Computer-Integrated Manufacturing 33. p.56-67- Abstract
- When robots are working in dynamic environments, close to humans lacking extensive knowledge of robotics, there is a strong need to simplify the user interaction and make the system execute as autonomously as possible, as long as it is feasible. For industrial robots working side-by-side with humans in manufacturing industry, AI systems are necessary to lower the demand on programming time and system integration expertise. Only by building a system with appropriate knowledge and reasoning services can one simplify the robot programming sufficiently to meet those demands while still getting a robust and efficient task execution.
In this paper, we present a system we have realized that aims at fulfilling the above demands. The paper... (More) - When robots are working in dynamic environments, close to humans lacking extensive knowledge of robotics, there is a strong need to simplify the user interaction and make the system execute as autonomously as possible, as long as it is feasible. For industrial robots working side-by-side with humans in manufacturing industry, AI systems are necessary to lower the demand on programming time and system integration expertise. Only by building a system with appropriate knowledge and reasoning services can one simplify the robot programming sufficiently to meet those demands while still getting a robust and efficient task execution.
In this paper, we present a system we have realized that aims at fulfilling the above demands. The paper focuses on the knowledge put into ontologies created for robotic devices and manufacturing tasks, and presents examples of AI-related services that use the semantic descriptions of skills to help users instruct the robot adequately. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/4679243
- author
- Stenmark, Maj
LU
and Malec, Jacek
LU
- organization
- publishing date
- 2015
- type
- Contribution to journal
- publication status
- published
- subject
- keywords
- knowledge representation, robot skill, industrial robotics ontology, assembly, service-oriented architecture
- in
- Robotics and Computer-Integrated Manufacturing
- volume
- 33
- pages
- 56 - 67
- publisher
- Elsevier
- external identifiers
-
- wos:000349725400007
- scopus:85027922369
- ISSN
- 0736-5845
- DOI
- 10.1016/j.rcim.2014.07.004
- language
- English
- LU publication?
- yes
- id
- b71ce47c-fc98-484f-8745-dbdf0ddf8f8c (old id 4679243)
- date added to LUP
- 2016-04-01 15:04:07
- date last changed
- 2024-02-25 22:18:42
@article{b71ce47c-fc98-484f-8745-dbdf0ddf8f8c, abstract = {{When robots are working in dynamic environments, close to humans lacking extensive knowledge of robotics, there is a strong need to simplify the user interaction and make the system execute as autonomously as possible, as long as it is feasible. For industrial robots working side-by-side with humans in manufacturing industry, AI systems are necessary to lower the demand on programming time and system integration expertise. Only by building a system with appropriate knowledge and reasoning services can one simplify the robot programming sufficiently to meet those demands while still getting a robust and efficient task execution.<br/><br> In this paper, we present a system we have realized that aims at fulfilling the above demands. The paper focuses on the knowledge put into ontologies created for robotic devices and manufacturing tasks, and presents examples of AI-related services that use the semantic descriptions of skills to help users instruct the robot adequately.}}, author = {{Stenmark, Maj and Malec, Jacek}}, issn = {{0736-5845}}, keywords = {{knowledge representation; robot skill; industrial robotics ontology; assembly; service-oriented architecture}}, language = {{eng}}, pages = {{56--67}}, publisher = {{Elsevier}}, series = {{Robotics and Computer-Integrated Manufacturing}}, title = {{Knowledge-Based Instruction of Manipulation Tasks for Industrial Robotics}}, url = {{https://lup.lub.lu.se/search/files/4322604/4679245.pdf}}, doi = {{10.1016/j.rcim.2014.07.004}}, volume = {{33}}, year = {{2015}}, }