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Browsing NTNU Open by Author "Semeniuta, Oleksandr"

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Now showing items 1-14 of 14

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    • Analysis of a robot welding system and possible concepts for improvement for a Norwegian SME 

      König, Lukas (Master thesis, 2019)
      The production of commodities in Norway requires a well designed production system, able to cope with customer requirements and challenges induced by the economic standards of the country. Customers require high quality ...
    • Analysis of Camera Calibration with Respect to Measurement Accuracy 

      Semeniuta, Oleksandr (Journal article; Peer reviewed, 2016)
      Machine vision is used for applications such as automated inspection, process control and robot guidance, and is directly associated with increasing of manufacturing process flexibility. The presence of noise in image data ...
    • Application of Machine Learning Methods to Improve Dimensional Accuracy in Additive Manufacturing 

      Baturynska, Ivanna; Semeniuta, Oleksandr; Wang, Kesheng (Chapter, 2019)
      Adoption of additive manufacturing for producing end-use products faces a range of limitations. For instance, quality of AM-fabricated parts varies from run to run and from machine to machine. There is also a lack of ...
    • Deburring Using Robot Manipulators: A Review 

      Onstein, Ingrid Fjordheim; Semeniuta, Oleksandr; Bjerkeng, Magnus Christian (Chapter, 2020)
      Deburring of cast parts can be a very challenging task. Today, large burrs on large casting are mostly removed manually. Workers are exposed to hazardous working conditions through, among other things, high noise and ...
    • Design av frontmonterte feiemaskin med oppsamler for bæremaskin 

      Broks, Andreas Dilling; Gaarder, Anne Marte; Hollingsæter, Torunn Schønning (Bachelor thesis, 2016-10-05)
      Målet ved oppgaven har vært å utvikle oppsamlingsprosessen for frontmontert feiemaskin med oppsamler for bæremaskin. Tokvam skal utvikle en kost med oppsamler, for å følge markedstrenden, og fortsatt være en aktuell aktør ...
    • Discrete event dataflow as a formal approach to specification of industrial vision systems 

      Semeniuta, Oleksandr; Falkman, Petter (Chapter; Peer reviewed, 2015)
      The need for more flexible manufacturing systems stimulates the adoption of industrial robots in combination with intelligent computing resources and sophisticated sensing technologies. In this context, industrial vision ...
    • EPypes: a framework for building event-driven data processing pipelines 

      Semeniuta, Oleksandr; Falkman, Petter (Journal article; Peer reviewed, 2019)
      Many data processing systems are naturally modeled as pipelines, where data flows though a network of computational procedures. This representation is particularly suitable for computer vision algorithms, which in most ...
    • Event-driven industrial robot control architecture for the Adept V+ platform 

      Semeniuta, Oleksandr; Falkman, Petter (Journal article; Peer reviewed, 2019)
      Modern industrial robotic systems are highly interconnected. They operate in a distributed environment and communicate with sensors, computer vision systems, mechatronic devices, and computational components. On the ...
    • Extracting shape features from a surface mesh using geometric reasoning 

      Leirmo, Torbjørn Langedahl; Semeniuta, Oleksandr; Baturynska, Ivanna; Martinsen, Kristian (Peer reviewed; Journal article, 2020)
      Mesh data is extensively used in CAD/CAM applications to approximate three-dimensional (3D) solid models. The STL file format is one of the key file formats for 3D data transfer in modern manufacturing systems. STL files, ...
    • Flexible Image Acquisition Service for Distributed Robotic Systems 

      Semeniuta, Oleksandr; Falkman, Petter (Chapter, 2018)
      The widespread use vision systems in robotics introduces a number of challenges related to management of image acquisition and image processing tasks, as well as their coupling to the robot control function. With the ...
    • Optimization of Process Parameters for Powder Bed Fusion Additive Manufacturing by Combination of Machine Learning and Finite Element Method: A Conceptual Framework 

      Baturynska, Ivanna; Semeniuta, Oleksandr; Martinsen, Kristian (Journal article; Peer reviewed, 2018)
      In addition to prototyping, Powder Bed Fusion (PBF) AM processes have lately been more widely used to manufacture end-use parts. These changes lead to necessity of higher requirements to quality of a final product. ...
    • Tolerancing from STL data: A Legacy Challenge 

      Leirmo, Torbjørn Langedahl; Semeniuta, Oleksandr; Martinsen, Kristian (Journal article; Peer reviewed, 2020)
      Part representation in additive manufacturing (AM) is dominated by the stereolithography (STL) file format as a universal mode for communicating and transferring part geometry from one system to another. However, when the ...
    • Towards increased intelligence and automatic improvement in industrial vision systems 

      Semeniuta, Oleksandr; Dransfeld, Sebastian; Martinsen, Kristian; Falkman, Petter (Journal article; Peer reviewed, 2018)
      Robots and in-process inspection systems equipped with machine vision solutions are used for increased flexibility and quality in automated manufacturing. Although vision systems have found wide industrial use, there are ...
    • Vision-based robotic system for picking and inspection of small automotive components 

      Semeniuta, Oleksandr; Dransfeld, Sebastian; Falkman, Petter (Conference object; Journal article; Peer reviewed, 2016)
      The use of vision systems for industrial robot guidance and quality control becomes much harder when the manufactured products and their components are small and possess reflective surface. To assure an effective automated ...

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