Project detail

Robotics for Industry 4.0

Duration: 01.06.2017 — 30.06.2023

Funding resources

Evropská unie - OP VVV PO1 Podpora excelentních výzkumných týmů

- whole funder (2017-06-01 - 2022-10-31)

On the project

Projekt přináší zásadní opatření pro rozvoj informatického, robotického a kybernetického výzkumu na ČVUT. Díky zahraničnímu expertovi prof. R.Babuškovi a strategické spolupráci s elitní TU Delft se předpokládá vybudování nové skupiny v rámci ústavu CIIRC. Projekt z oblasti mobilní a průmyslové robotiky reaguje na nový hybný proud v oboru: Industry 4.0. Projekt se opírá o dva národní partnery - VUT v Brně a ZČU v Plzni a přispívá k vytvoření jednotného prostoru příležitostí pro mladé talenty v ČR.

Description in English
The project contributes to fulfilling CIIRC's vision: "The CIIRC is a state-of-the-art research institute integrating the best research teams, young talents and unique know-how, pushing the boundaries of technical knowledge, motivating world-class performances and educating future generations of international figures. The aim of the project is to build a dynamic young research team under the leadership of KZVP, who will draw on the unique expertise of TU Delft, prof. Babuška who joined the project as a CTU employee. The research team will carry out research activities within three WPs. Thanks to the KZVP and the cooperation with TU Delft, there will be a transfer of completely new methods of machine learning (learning to reinforce) and the methods of mobile robotics and mechatronics that the team will be able to develop. The aim is also to transfer knowledge in the field of managing international grants (especially H2020 and ERC), and thanks to TU Delft's experience, it is expected to increase the success of grants. At the same time, it is expected to increase the quality of publishing performance of the affected CTU team, thanks to the realization of attractive research projects in cooperation with the elite TU Delft. The aim is therefore to develop strategic international cooperation with Delft TU in the form of: deepening (expanding cooperation from the individual level to the institutional level, sharing best practice at the strategic level, continuity of cooperation also outside of solved grants) and targeting development of selected areas, especially coordination grants, ERC grants, attestation and evaluation policy, etc.). Another objective is the modernization of R & D infrastructure, in the form of acquisition of instrumentation for the realization of research activities, the transfer of TU Delft best practice in the field of quality management (eg peer-review evaluation, etc.).

Keywords
Robotika, Industry 4.0

Key words in English
Industrial Robotics, cyberphysical systems, machine learning, mechatronics, network control systems, machine perception, computer vision, autonomous systems, Industry 4.0, human-robot collaboration, multiagent systems

Mark

CZ.02.1.01/0.0/0.0/15_003/0000470

Default language

Czech

People responsible

Žalud Luděk, prof. Ing., Ph.D. - principal person responsible

Units

Cybernetics in Material Science
- (2016-08-01 - 2022-10-31)

Results

LÁZNA, T.; GÁBRLÍK, P.; JÍLEK, T.; ŽALUD, L. Cooperation between an unmanned aerial vehicle and an unmanned ground vehicle in highly accurate localization of gamma radiation hotspots. International Journal of Advanced Robotic Systems, 2018, vol. 15, no. 1, p. 1-16. ISSN: 1729-8814.
Detail

GÁBRLÍK, P.; LA COUR-HARBO, A.; KALVODOVÁ, P.; ŽALUD, L.; JANATA, P. Calibration and accuracy assessment in a direct georeferencing system for UAS photogrammetry. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2018, vol. 39, no. 15-16, p. 4931-4959. ISSN: 0143-1161.
Detail

GÁBRLÍK, P.; LÁZNA, T. Simulation of Gamma Radiation Mapping Using an Unmanned Aerial System. In 15th IFAC Conference on Programmable Devices and Embedded Systems PDeS 2018. IFAC-PapersOnLine (ELSEVIER). Elsevier B.V., 2018. p. 256-262. ISSN: 2405-8963.
Detail

JÍLEK, T.; BURIAN, F.; KŘÍŽ, V. Odometry Calibration of a Chassis with Differential Steering. In 15th IFAC Conference on Programmable Devices and Embedded Systems PDeS 2018. IFAC-PapersOnLine (ELSEVIER). Amsterdam, The Netherland: Elsevier B.V., 2018. p. 484-489. ISSN: 2405-8963.
Detail

LÁZNA, T. The Visualization of Threats Using the Augmented Reality and a Remotely Controlled Robot. In IFAC-PapersOnLine. IFAC-PapersOnLine (ELSEVIER). 2018. p. 444-449. ISSN: 2405-8963.
Detail

LÁZNA, T.; GÁBRLÍK, P.; SLÁDEK, P.; JÍLEK, T.; ŽALUD, L. Unmanned Aircraft System-Based Radiological Mapping of Buildings. In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Proceedings of the International Conference on Intelligent Robots and Systems (Online). IEEE, 2022. p. 1794-1801. ISBN: 978-1-6654-7927-1. ISSN: 2153-0866.
Detail

LÁZNA, T.; FIŠERA, O.; KAREŠ, J.; ŽALUD, L. Localization of ionizing radiation sources via an autonomous robotic system. RADIATION PROTECTION DOSIMETRY, 2019, vol. 186, no. 2-3, p. 249-256. ISSN: 0144-8420.
Detail

HÝBL, M.; JÍLEK, T.; ŽALUD, L. Practical comparison of communication technologies suitable for field robotics. In Modelling and Simulation for Autonomous Systems. Lecture Notes in Computer Science. 6. Cham, Switzerland: Springer, 2020. p. 262-273. ISBN: 978-3-030-43890-6. ISSN: 0302-9743.
Detail

LÁZNA, T.; GÁBRLÍK, P.; JÍLEK, T.; BURIAN, F. Simulating UAS-Based Radiation Mapping on a Building Surface. In Modelling and Simulation for Autonomous Systems. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2020. p. 130-147. ISBN: 978-3-030-43890-6. ISSN: 0302-9743.
Detail

GÁBRLÍK, P.; LÁZNA, T.; JÍLEK, T.; SLÁDEK, P.; ŽALUD, L. Using an Automated Heterogeneous Robotic System for Radiation Surveys. 2020, p. 1-32.
Detail

GÁBRLÍK, P.; LÁZNA, T.; JÍLEK, T.; SLÁDEK, P.; ŽALUD, L. An automated heterogeneous robotic system for radiation surveys: Design and field testing. Journal of Field Robotics, 2021, vol. 38, no. 5, p. 657-683. ISSN: 1556-4959.
Detail

GÁBRLÍK, P.; JANATA, P.; ŽALUD, L.; HARČARIK, J. Towards Automatic UAS-Based Snow-Field Monitoring for Microclimate Research. SENSORS, 2019, vol. 19, no. 8, p. 1-23. ISSN: 1424-8220.
Detail