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Interacting with industrial robots through a multi-modal language and sensory systems
Mälardalen University, School of Innovation, Design and Engineering.
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0002-5224-8302
Mälardalen University, School of Innovation, Design and Engineering.ORCID iD: 0000-0001-5141-7242
2008 (English)In: 39th International Sysmposium on Robotics, Seoul, Korea, 2008, p. 66-69Conference paper, Published paper (Refereed)
Abstract [en]

Over the past few decades the use of industrial robots has increased a company's efficiency as well as strengthening their competitiveness in the market.

Despite this fact, in many cases, robot automation investments are considered to be technically challenging as well as costly by small and medium sized enterprises (SME). We hypothesize that in order to make industrial robots more common within the SME sector, the robots should be reprogrammable by task experts rather than robot programming experts. Within this project we propose to develop a high level language for intelligent human robot interaction that relies on multi-sensor inputs providing an abstract instructional programming environment for the user. Eventually to bring robot programming to stage where it is as easy as working together with a colleague

Place, publisher, year, edition, pages
2008. p. 66-69
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mdh:diva-7276OAI: oai:DiVA.org:mdh-7276DiVA, id: diva2:237286
Conference
39th International Symposium on Robotics, ISR 2008; Seoul; South Korea; 15 October 2008 through 17 October 2008
Available from: 2009-09-25 Created: 2009-09-25 Last updated: 2013-12-19Bibliographically approved
In thesis
1. Human Robot Interaction Solutions for Intuitive Industrial Robot Programming
Open this publication in new window or tab >>Human Robot Interaction Solutions for Intuitive Industrial Robot Programming
2012 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Over the past few decades the use of industrial robots has increased the efficiency as well as competitiveness of many companies. Despite this fact, in many cases, robot automation investments are considered to be technically challenging. In addition, for most small and medium sized enterprises (SME) this process is associated with high costs. Due to their continuously changing product lines, reprogramming costs are likely to exceed installation costs by a large margin. Furthermore, traditional programming methods for industrial robots are too complex for an inexperienced robot programmer, thus assistance from a robot programming expert is often needed.  We hypothesize that in order to make industrial robots more common within the SME sector, the robots should be reprogrammable by technicians or manufacturing engineers rather than robot programming experts. In this thesis we propose a high-level natural language framework for interacting with industrial robots through an instructional programming environment for the user.  The ultimate goal of this thesis is to bring robot programming to a stage where it is as easy as working together with a colleague.In this thesis we mainly address two issues. The first issue is to make interaction with a robot easier and more natural through a multimodal framework. The proposed language architecture makes it possible to manipulate, pick or place objects in a scene through high level commands. Interaction with simple voice commands and gestures enables the manufacturing engineer to focus on the task itself, rather than programming issues of the robot. This approach shifts the focus of industrial robot programming from the coordinate based programming paradigm, which currently dominates the field, to an object based programming scheme.The second issue addressed is a general framework for implementing multimodal interfaces. There have been numerous efforts to implement multimodal interfaces for computers and robots, but there is no general standard framework for developing them. The general framework proposed in this thesis is designed to perform natural language understanding, multimodal integration and semantic analysis with an incremental pipeline and includes a novel multimodal grammar language, which is used for multimodal presentation and semantic meaning generation.

Place, publisher, year, edition, pages
Västerås: Mälardalen University, 2012. p. 94
Series
Mälardalen University Press Licentiate Theses, ISSN 1651-9256 ; 149
Keywords
huamn robot interaction, industrial robots, intuitive programming
National Category
Robotics
Research subject
Computer Science
Identifiers
urn:nbn:se:mdh:diva-14315 (URN)978-91-7485-060-4 (ISBN)
Presentation
2012-03-28, Lambda, Högskoleplan 1, Rosenhil, Västerås, 13:15 (English)
Opponent
Supervisors
Projects
robot colleague project
Available from: 2012-03-07 Created: 2012-03-07 Last updated: 2015-01-14Bibliographically approved

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Çürüklü, BaranAsplund, Lars

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