Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Iwona, Pajak"'
Autor:
Grzegorz, Pajak, Justyna, Patalas-Maliszewska, Pascal, Krutz, Matthias, Rehm, Iwona, Pajak, Holger, Schlegel, Martin, Dix
Publikováno v:
In Expert Systems With Applications 5 March 2025 263
Autor:
Justyna Patalas-Maliszewska, Iwona Pajak, Pascal Krutz, Grzegorz Pajak, Matthias Rehm, Holger Schlegel, Martin Dix
Publikováno v:
Sensors, Vol 23, Iss 3, p 1137 (2023)
The aim of this study was to develop a physical activity advisory system supporting the correct implementation of sport exercises using inertial sensors and machine learning algorithms. Specifically, three mobile sensors (tags), six stationary anchor
Externí odkaz:
https://doaj.org/article/f8011e45bdf341d2a1c877f4ab39067e
Autor:
Iwona Pajak, Grzegorz Pajak
Publikováno v:
Applied Sciences, Vol 11, Iss 13, p 6209 (2021)
This paper presents the usage of holonomic mobile humanoid manipulators to carry out autonomous tasks in industrial environments, according to the smart factory concept and the Industry 4.0 philosophy. The problem of transporting lengthy objects, tak
Externí odkaz:
https://doaj.org/article/cb7a95c7d9d54dc8b53f8cf6d5ae5aa7
Autor:
Iwona Pajak, Pascal Krutz, Justyna Patalas-Maliszewska, Matthias Rehm, Grezgorz Pajak, Holger Schlegel, Martin Dix
Publikováno v:
2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ad66102d817e8f29c3d9e54aa1f13d6
https://doi.org/10.1109/fuzz-ieee55066.2022.9882654
https://doi.org/10.1109/fuzz-ieee55066.2022.9882654
Autor:
Grzegorz Pajak, Pascal Krutz, Justyna Patalas-Maliszewska, Matthias Rehm, Iwona Pajak, Martin Dix
Publikováno v:
SSRN Electronic Journal.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::edce2a705928ded409b2830bf4a81053
https://doi.org/10.2139/ssrn.4019507
https://doi.org/10.2139/ssrn.4019507
Publikováno v:
FUZZ-IEEE
In the case of industrial solutions, in the context of Industry 4.0, Artificial Neural Networks (ANNs) currently dominate almost all tasks related to the optimisation of manufacturing processes. For manufacturing enterprises, a quick and precise resp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6bec56bb6c2471fc745e69d6371ec5c8
https://doi.org/10.1109/fuzz45933.2021.9494575
https://doi.org/10.1109/fuzz45933.2021.9494575
Publikováno v:
FUZZ-IEEE
Managers are looking for solutions that will be helpful when deciding on the purchase of new technologies, in order to adapt the enterprise to the Industry 4.0 concept. Nowadays, many approaches suitable for smart manufacturing systems involving main
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96635fdaa7a95a27374791cf240ea01f
https://doi.org/10.1109/fuzz48607.2020.9177749
https://doi.org/10.1109/fuzz48607.2020.9177749
Autor:
Iwona Pajak
Publikováno v:
Journal of Intelligent & Robotic Systems. 93:649-668
This paper deals with the real-time trajectory generation problem for two cooperating mobile robots moving the common rigid object. The holonomic constraints resulting from a closed kinematic chain and the dynamics of such a system are considered. Tw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b5e750af5f1e463a31f7bc10224f297
https://doi.org/10.1007/s10846-018-0878-5
https://doi.org/10.1007/s10846-018-0878-5
Autor:
Iwona Pajak, Grzegorz Pajak
Publikováno v:
Journal of Intelligent & Robotic Systems. 85:523-538
The collision-free trajectory planning method subject to control constraints for mobile manipulators is presented. The robot task is to move from the current configuration to a given final position in the workspace. The motions are planned in order t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::975acc2174db72ae4c64a7b72a98a57f
https://doi.org/10.1007/s10846-016-0390-8
https://doi.org/10.1007/s10846-016-0390-8
Autor:
Iwona Pajak
Publikováno v:
RoMoCo
A method of planning sub-optimal trajectory for two mobile manipulators moving the common rigid object is presented. The robotic task is to move the object to a final location in the workspace. Trajectory planning problem is solved using a leader-fol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a3dcdf879d1dbe02d213011a74f7413f
https://doi.org/10.1109/romoco.2017.8003902
https://doi.org/10.1109/romoco.2017.8003902