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Project detail
Duration: 01.01.2019 — 31.12.2021
Funding resources
Ministerstvo průmyslu a obchodu ČR - TRIO
- whole funder (2019-06-25 - 2021-12-31)
On the project
Projekt je zaměřen na výzkum a vývoj kooperativní robotické platformy pro průmyslové aplikace
Description in EnglishThe primary goal of the project is to develop a platform for a flexible and cost-effective cognitive robot using cloud's robotics and its deployment in industrial production. Cloud robotics generally represent the use of Internet technologies such as cloud data storage, cloud computing or other robotic technologies. The use of cloud robotics techniques offers at least six main options: • Global data, image or object libraries, often with geometric and mechanical properties, expert systems and knowledge bases- • Possibility of massive parallelism in calculations based on statistical models, movement trajectories, task planning, coordination of multiple robot units- • Sharing outputs, trajectories and dynamic robot control methods, supporting robot learning process. • Sharing 'open-source-code / data' between robotics designers - suggestions for programming, experimenting, or hardware solutions- • Help and assistance in testing, learning and troubleshooting- • Enhanced human-machine interaction capabilities- The aim of the project is therefore to develop a cloud-based robot platform that can be used in the industry, automated assembly lines, e.g. in automotive components production. Typical tasks in this issue are manipulation of components without a defined orientation in all axes, in a complex or dynamically changing environment where an increased level of interaction with the environment and the user is required. The main outputs of the project will be: G - Functional sample of a robotic platform sensoric system using cloud technologies G - Robot functional sample (robotic platforms) using the above-mentioned sensor system and cloud technologies Z - Verified remote transmission technology and data processing from robotic platform sensors R-SW - Portal for the transfer, storage, processing and utilization of large data from robotic platform sensors in cloud environment.
Keywordskooperativní; robot; aplikace
Key words in Englishrobot- cloud services- robotic platform- cloud robotics- open source
Mark
FV40247
Default language
Czech
People responsible
Arm Jakub, doc. Ing., Ph.D. - fellow researcherBaštán Ondřej, Ing. - fellow researcherBenešl Tomáš, Ing. - fellow researcherKaczmarczyk Václav, Ing., Ph.D. - fellow researcherMihálik Ondrej, Ing. - fellow researcherMichalík David, Ing. - fellow researcherStreit Jakub, Ing. - fellow researcherSýkora Tomáš, Ing. - fellow researcherBradáč Zdeněk, doc. Ing., Ph.D. - principal person responsible
Units
Cybernetics in Material Science- (2018-10-18 - not assigned)Department of Control and Instrumentation- (2019-01-01 - 2021-12-31)
Results
KACZMARCZYK, V.; BENEŠL, T.; ARM, J.; MARCOŇ, P.; ZEZULKA, F.; JIRSA, J.; VENKRBEC, L. Revisiting the Role of Manufacturing Execution Systems in Industry 4.0. In 17th IFAC INTERNATIONAL CONFERENCE on PROGRAMMABLE DEVICES and EMBEDDED SYSTEMS - PDeS 2022. IFAC-PapersOnLine (ELSEVIER). AMSTERDAM: ELSEVIER, 2022. p. 151-157. ISSN: 2405-8963.Detail
ARM, J.; DVORSKÝ, P.; FIEDLER, P.; FALCOU, C.; ORLICKÝ, J. Safety and Security of the Car-Sharing System. In IFAC Conference on Programmable Devices and Embedded Systems (PDES). IFAC-PapersOnLine (ELSEVIER). AMSTERDAM: ELSEVIER, 2022. p. 121-126. ISSN: 2405-8963.Detail
JIRGL, M.; FIEDLER, P.; BRADÁČ, Z. Human Driver Performance Assessment based on HiLCPS Concept. In Proceedings on 17th IFAC Conference on Programmable Devices and Embedded Systems (PDES). IFAC-PapersOnLine (ELSEVIER). Elsevier, 2022. p. 345-350. ISSN: 2405-8963.Detail
MARCOŇ, P.; JIRSA, J.; VENKRBEC, L.; ZEZULKA, F.; BENEŠL, T.; KACZMARCZYK, V.; ARM, J. An Experimental Training Production Line to Demonstrate the Basics of Industry 4.0. In 17th IFAC Conference on Programmable Devices and Embedded Systems PDES 2022 — Sarajevo, Bosnia and Herzegovina, 17-19 May 2022. IFAC-PapersOnLine (ELSEVIER). AMSTERDAM: ELSEVIER, 2022. p. 139-144. ISSN: 2405-8963.Detail