Knowledge-Based Instruction of Manipulation Tasks for Industrial Robotics

Summary, in English

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.

• Author: Maj Stenmark; Jacek Malec
• Department/s: Department of Computer Science; eSSENCE: The e-Science Collaboration; ELLIIT: the Linköping-Lund initiative on IT and mobile communication; Robotics and Semantic Systems
• Publishing year: 2015
• Language: English
• Pages: 56-67
• Publication/Series: Robotics and Computer-Integrated Manufacturing
• Volume: 33
• Full text: - 3 MB; Download statistics
• Links: http://dx.doi.org/10.1016/j.rcim.2014.07.004
• Document type: Journal article
• Publisher: Elsevier
• Topic: Computer Science
• Keywords: knowledge representation; robot skill; industrial robotics ontology; assembly; service-oriented architecture
• Status: Published
• Research group: RSS
• ISBN/ISSN/Other: ISSN: 0736-5845