0574862 20240402214328.520230827235959.9 85182741907 10.1109/CSCC58962.2023.00026 6 s. P cav_un_epca*0574861979-8-3503-3760-0117-122PiscatawayIEEE2023MastorakisNikos industrial robotics real-time experiments motion control model predictive control cav_un_auth*0101064 Belda Květoslav UTIA-B Adaptivní systémy Department of Adaptive Systems AS AS Department of Adaptive Systems K Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0453491 Venkrbec L. CZ http://library.utia.cas.cz/separaty/2023/AS/belda-0574862.pdf GC23-04676J GA ČR CZ cav_un_auth*0453493 This paper deals with control principles and means, used for research and development purposes supporting and improving motion control of industrial stationary articulated robots. These robots represent the main automation elements on all levels of today’s industrial productions considering all technologies such as manipulation, welding, assembling, painting and others. In conjunction with conveyor belts, they are essential for cyber-physical factories built on concepts of Industry 4.0. The related modelling principles are proposed and explained with respect to used control approaches conventional and advanced including software tools supporting the programming, rapid prototyping, verification and commissioning. cav_un_auth*0453492 International Conference on Circuits, Systems, Communications and Computers (CSCC 2023) /27./ 20230719 20230722 Rodos GR JD 20000 20200 20204 2024 2 ZP RVO:67985556 https://hdl.handle.net/11104/0344799 cav_un_auth*0295075 Vysoká škola polytechnická Jihlava VŠPJ CZ S 2023 85182741907 SCOPUS PUBMED WOS cav_un_epca*0574861 Proceedings of the 27th International Conference on Circuits, Systems, Communications and Computers - CSCC 2023 IEEE 2023 Piscataway 117 122 979-8-3503-3760-0 Mastorakis Nikos 340