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dc.contributor.authorSziebig, Gabornb_NO
dc.date.accessioned2014-12-19T12:21:13Z
dc.date.available2014-12-19T12:21:13Z
dc.date.created2013-10-28nb_NO
dc.date.issued2013nb_NO
dc.identifier660531nb_NO
dc.identifier.isbn978-82-471-4155-7 (printed ver.)nb_NO
dc.identifier.isbn978-82-471-4156-4 (electronic ver.)nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/240952
dc.description.abstractManual work is the key source of skill and ingenuity in industrial manufacturing. At the same time, it is the most expensive resource factor. Often machines can replace humans for more effective manufacturing because machines outperform humans in terms of strength, precision and endurance. Humans, however, perform better than machines when flexibility and intelligence is required. Flexible Manufacturing Systems are capable of manufacturing wide variety of products with low volume size and minimal lead time. These manufacturing cells are usually equipped with high level computer based control and include highly flexible industrial robots also. Robots can partially resolve contradiction of flexibility and intelligence due to their more humanlike structure and programmability. To a large extent, robots have already relieved workers of many of the tedious, hard and unhealthy parts of industrial work. But the universal application of robots in small-batch highly customized production is hindered by the time consuming robot programming. This thesis shows efficient methods and processes for teaching and optimizing complex robot tasks by introducing cognitive robot programming, flexible robotics, and middleware. Intelligent user interfaces combining information from several sensors in the manufacturing system will provide the operator with direct knowledge on the state of the manufacturing operation. Thus, the operator will be able to determine the system state quicker. Sensory system calculates and proposes the optimal process settings. The key element is the new cognitive human-machine communication channels helping the operator to comprehend the information from the sensory systems. Novel middleware technology is facilitated for integration of elements from different system platforms into a coherent robot system and scaling it for different hardware complexity levels. The contributions of the thesis could be summarized as follows: 1. Introduction of a new scientific concept of task dependent, software component based controller for flexible manufacturing cells. 2. Development of a new paradigm of robot teaching and supervising, which opens a new dimension of robotization in the area of small and medium sized enterprises. 3. Introduction of a new concept for Coginitve Telemanipualtion.nb_NO
dc.languageengnb_NO
dc.publisherNorges teknisk-naturvitenskapelige universitet, Fakultet for ingeniørvitenskap og teknologi, Institutt for produksjons- og kvalitetsteknikknb_NO
dc.relation.ispartofseriesDoktoravhandlinger ved NTNU, 1503-8181; 2013:31nb_NO
dc.relation.haspartSolvang, Biorn; Sziebig, Gabor; Korondi, Peter. Multilevel Control of Flexible Manufacturing Systems. 2008 CONFERENCE ON HUMAN SYSTEM INTERACTIONS, VOLS 1 AND 2: 791-796, 2008. <a href='http://dx.doi.org/10.1109/HSI.2008.4581541'>10.1109/HSI.2008.4581541</a>.nb_NO
dc.relation.haspartSolvang, Bjørn; Sziebig, Gabor; Korondi, Peter. Robot programming in machining operations. Robot manipulators: 479-496, 2008. <a href='http://dx.doi.org/10.5772/6221'>10.5772/6221</a>.nb_NO
dc.relation.haspartSolvang, Bjorn; Sziebig, Gabor; Korondi, Peter. Vision based robot programming. PROCEEDINGS OF 2008 IEEE INTERNATIONAL CONFERENCE ON NETWORKING, SENSING AND CONTROL, VOLS 1 AND 2: 949-954, 2008. <a href='http://dx.doi.org/10.1109/ICNSC.2008.4525353'>10.1109/ICNSC.2008.4525353</a>.nb_NO
dc.relation.haspartSziebig, Gabor; Solvang, Bjørn; Korondi, Peter. Image processing for next-generation robots. Computer vision: 429-440, 2008. <a href='http://dx.doi.org/10.5772/6155'>10.5772/6155</a>.nb_NO
dc.relation.haspartSolvang, Bjørn; Refsahl, Lars Kristian; Sziebig, Gabor. Step-NC based industrial robot CAM system. 9th IFAC Symposium on Robot Control: 361-368, 2009. <a href='http://dx.doi.org/10.3182/20090909-4-JP-2010.00043'>10.3182/20090909-4-JP-2010.00043</a>.nb_NO
dc.relation.haspartSziebig, Gabor. Achieving total immersion. SIMULATION, MODELLING AND OPTIMIZATION: 458-463, 2009.nb_NO
dc.relation.haspartSziebig, Gabor; Solvang, Bjorn; Kiss, Csaba; Korondi, Peter. Vibro-tactile feedback for VR systems. 2nd Conference on Human System Interactions: 403-407, 2009. <a href='http://dx.doi.org/10.1109/HSI.2009.5091014'>10.1109/HSI.2009.5091014</a>.nb_NO
dc.relation.haspartSziebig, Gabor; Takarics, Bela; Korondi, Peter. Control of an Embedded System via Internet. IEEE transactions on industrial electronics (1982. Print). (ISSN 0278-0046). 57(10): 3324-3333, 2010. <a href='http://dx.doi.org/10.1109/TIE.2010.2041132'>10.1109/TIE.2010.2041132</a>.nb_NO
dc.relation.haspartSziebig, Gabor; Zanaty, Peter; Korondi, Peter; Solvang, Bjorn. Cog Framework-3D Visualization for Mobile Robot Teleoperation. INTER ACADEMIA 2010 - GLOBAL RESEARCH AND EDUCATION: 357-361, 2011. <a href='http://dx.doi.org/10.4028/www.scientific.net/AMR.222.357'>10.4028/www.scientific.net/AMR.222.357</a>.nb_NO
dc.relation.haspartSolvang, Bjorn; Sziebig, Gabor; Korondi, Peter. Shop-Floor Architecture for Effective Human-Machine and Inter-Machine Interaction. Acta Polytechnica Hungarica. (ISSN 1785-8860). 9(1): 183-201, 2012.nb_NO
dc.relation.haspartSolvang, Bjorn; Sziebig, Gabor. On Industrial Robots and Cognitive Info-Communication. Proceedings of the 3RD IEEE INTERNATIONAL CONFERENCE ON COGNITIVE INFOCOMMUNICATIONS: 459-464, 2012. <a href='http://dx.doi.org/10.1109/CogInfoCom.2012.6422025'>10.1109/CogInfoCom.2012.6422025</a>.nb_NO
dc.relation.haspartSziebig, Gábor; Øritsland, Trond Are. Navigating in 3D Immersive Environments. Elsevier IFAC Publications / IFAC Proceedings series. (ISSN 1474-6670): 380-384, 2012. <a href='http://dx.doi.org/10.3182/20090909-4-JP-2010.00043'>10.3182/20090909-4-JP-2010.00043</a>.nb_NO
dc.titleMan-machine and intermachine interaction in flexible manufacturing systemsnb_NO
dc.typeDoctoral thesisnb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for ingeniørvitenskap og teknologi, Institutt for produksjons- og kvalitetsteknikknb_NO
dc.description.degreePhD i produksjons- og kvalitetsteknikknb_NO
dc.description.degreePhD in Production and Quality Engineeringen_GB


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