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Jakub Mozaryn

Jakub Filip Mozaryn

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2020 – today

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2024
[j9]
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  - journals/adb/BacaroDMSR24
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Martina Bacaro, Mikolaj Dziok, Jakub Mozaryn, Paul Schweidler, Joanna Raczaszek-Leonardi:
Cobots, Complexities, and Campfire: Report on the 4th HRI Summer School. Adapt. Behav. 32(3): 283-287 (2024)
2023
[j8]
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  - journals/sensors/SibilskaMroziewiczHMOS23
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Anna Sibilska-Mroziewicz, Ayesha Hameed, Jakub Mozaryn, Andrzej W. Ordys, Krzysztof Sibilski:
Analysis of the Snake Robot Kinematics with Virtual Reality Visualisation. Sensors 23(6): 3262 (2023)
[c21]
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  - conf/mmar/GusM23
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Bartlomiej Gus, Jakub Mozaryn:
Comparison of artificial neural network adaptive control techniques for a nonlinear system with delay. MMAR 2023: 111-116
[c20]
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  - conf/mmar/PawlickiHOM23
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Mariusz Pawlicki, Kacper Hulek, Adrian Ostrowski, Jakub Mozaryn:
Implementation and analysis of Ryze Tello drone vision-based positioning using AprilTags. MMAR 2023: 309-313
[i5]
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  - journals/corr/abs-2304-13468
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Bartlomiej Gus, Jakub Mozaryn:
Comparison of artificial neural network adaptive control techniques for a nonlinear system with delay. CoRR abs/2304.13468 (2023)
[i4]
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  - journals/corr/abs-2305-05673
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Kacper Hulek, Mariusz Pawlicki, Adrian Ostrowski, Jakub Mozaryn:
Implementation and analysis of Ryze Tello drone vision-based positioning using AprilTags. CoRR abs/2305.05673 (2023)
[i3]
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  - journals/corr/abs-2305-07250
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Swavik Spiewak, Stephen Ludwick, Glenn Hauer, Jakub Mozaryn:
Generation of Accurate Translational Motion for Testing Inertial Sensors. CoRR abs/2305.07250 (2023)
2022
[j7]
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  - journals/sensors/KlimaszewskiWOW22
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Jan Klimaszewski, Krzysztof Wildner, Anna Ostaszewska-Lizewska, Michal Wladzinski, Jakub Mozaryn:
Robot-Based Calibration Procedure for Graphene Electronic Skin. Sensors 22(16): 6122 (2022)
[c19]
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  - conf/dps/SyfertKMOW22
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Michal Syfert, Jan Maciej Kóscielny, Jakub Mozaryn, Andrzej W. Ordys, Pawel Wnuk:
Simulation Model and Scenarios for Testing Detectability of Cyberattacks in Industrial Control Systems. DPS 2022: 73-84
2021
[j6]
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  - journals/complexity/KotuszewskiKKOB21
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Piotr Kotuszewski, Krzysztof Kukielka, Pawel Kluk, Andrzej W. Ordys, Karol Bienkowski, Jan Maciej Kóscielny, Michal Syfert, Pawel Wnuk, Jakub Mozaryn, Bartlomiej Fajdek:
Cyber-Security Assessment of Industry 4.0 Enabled Mechatronic System. Complex. 2021: 6670625:1-6670625:10 (2021)
[c18]
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  - conf/chi/KopecKKSPJPMKG21
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Wieslaw Kopec, Krzysztof Kalinowski, Monika Kornacka, Kinga Skorupska, Julia Paluch, Anna Jaskulska, Grzegorz Pochwatko, Jakub Filip Mozaryn, Pawel Kobylinski, Piotr Gago:
VR Hackathon with Goethe Institute: Lessons Learned from Organizing a Transdisciplinary VR Hackathon. CHI Extended Abstracts 2021: 62:1-62:7
[c17]
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  - conf/eucc/KoscielnySOWMFP21
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Jan Maciej Kóscielny, Michal Syfert, Andrzej W. Ordys, Pawel Wnuk, Jakub Mozaryn, Bartlomiej Fajdek, Vicenç Puig, Krzysztof Kukielka:
Towards a unified approach to detection of faults and cyber-attacks in industrial installations. ECC 2021: 1839-1844
[c16]
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  - conf/midi/KlimaszewskiGM21
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Jan Klimaszewski, Lukasz Gruszka, Jakub Mozaryn:
Test Framework for Collaborative Robot Graphene-Based Electronic Skin. MIDI 2021: 115-121
[i2]
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  - journals/corr/abs-2104-02100
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Wieslaw Kopec, Krzysztof Kalinowski, Monika Kornacka, Kinga Skorupska, Julia Paluch, Anna Jaskulska, Grzegorz Pochwatko, Jakub Mozaryn, Pawel Kobylinski, Piotr Gago:
VR Hackathon with Goethe Institute: Lessons Learned from Organizing a Transdisciplinary VR Hackathon. CoRR abs/2104.02100 (2021)
2020
[j5]
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  - journals/symmetry/OzanaDKMSR20
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Stepán Ozana, Tomas Docekal, Aleksandra Kawala-Sterniuk, Jakub Mozaryn, Milos Schlegel, Akshaya Raj:
Trajectory Planning for Mechanical Systems Based on Time-Reversal Symmetry. Symmetry 12(5): 792 (2020)
[c15]
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  - conf/kka/MozarynOSBAM20
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Jakub Mozaryn, Andrzej W. Ordys, Adam Stec, Konrad Bogusz, Omar Y. Al-Jarrah, Carsten Maple:
Design and Development of Industrial Cyber-Physical System Testbed. KKA 2020: 725-735

2010 – 2019

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2019
[j4]
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  - journals/jamris/MozarynWS19
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Jakub Mozaryn, Arkadiusz Winnicki, Damian Suski:
Impulse Identification and Discrete P/PD Control of Electro-Hydraulic Servodrive. J. Autom. Mob. Robotics Intell. Syst. 12(4): 51-57 (2019)
[c14]
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  - conf/automation/ChmielewskiMPB19
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Adrian Chmielewski, Jakub Mozaryn, Piotr Piórkowski, Krzysztof Bogdzinski:
Battery Voltage Estimation Using NARX Recurrent Neural Network Model. AUTOMATION 2019: 218-231
[i1]
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  - journals/corr/abs-1911-00466
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Wieslaw Kopec, Marcin Wichrowski, Krzysztof Kalinowski, Anna Jaskulska, Kinga Skorupska, Daniel Cnotkowski, Jakub Tyszka, Agata Popieluch, Anna Voitenkova, Rafal Maslyk, Piotr Gago, Maciej Krzywicki, Monika Kornacka, Cezary Biele, Pawel Kobylinski, Jaroslaw Kowalski, Katarzyna Abramczuk, Aldona Zdrodowska, Grzegorz Pochwatko, Jakub Mozaryn, Krzysztof Marasek:
VR with Older Adults: Participatory Design of a Virtual ATM Training Simulation. CoRR abs/1911.00466 (2019)
2018
[c13]
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  - conf/automation/ChmielewskiPGBM18
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Adrian Chmielewski, Piotr Piórkowski, Robert Guminski, Krzysztof Bogdzinski, Jakub Mozaryn:
Model-Based Research on Ultracapacitors. AUTOMATION 2018: 254-264
[c12]
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Adrian Chmielewski, Jakub Mozaryn, Piotr Piórkowski, Robert Guminski, Krzysztof Bogdzinski:
Modelling of Ultracapacitors Using Recurrent Artificial Neural Network. AUTOMATION 2018: 713-723
[c11]
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Adrian Chmielewski, Krzysztof Bogdzinski, Robert Guminski, Przemyslaw Szulim, Piotr Piórkowski, Jakub Mozaryn, Jedrzej Maczak:
Operational Research of VRLA Battery. AUTOMATION 2018: 783-791
[c10]
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  - conf/mmar/MozarynWM18
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Jakub Mozaryn, Arkadiusz Winnicki, Michal Micewicz:
Experimental Verification of Discrete Linear-Quadratic-Gaussian Control System of Electro-Hydraulic Servodrive. MMAR 2018: 241-246
2017
[c9]
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  - conf/kka/JezierskiMS17
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Andrzej Jezierski, Jakub Mozaryn, Damian Suski:
A Comparison of LQR and MPC Control Algorithms of an Inverted Pendulum. KKA 2017: 65-76
[c8]
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Adrian Chmielewski, Jakub Mozaryn, Maciej Krzeminski:
Theoretical and experimental background for artificial neural network modeling of alpha type Stirling engine. MMAR 2017: 570-575
2016
[j3]
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  - journals/jamris/PicarraGPM16
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Nuno Piçarra, Jean-Christophe Giger, Grzegorz Pochwatko, Jakub Mozaryn:
Designing Social Robots for Interaction at Work: Socio-Cognitive Factors Underlying Intention to Work with Social Robots. J. Autom. Mob. Robotics Intell. Syst. 10(4): 17-26 (2016)
[c7]
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  - conf/mmar/KolajMS16
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Witold Kolaj, Jakub Mozaryn, Michal Syfert:
PLC-PIDTuner: Application for PID tuning with SIMATIC S7 PLC controllers. MMAR 2016: 306-311
2015
[j2]
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  - journals/jamris/PochwatkoGRSKMP15
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Grzegorz Pochwatko, Jean-Christophe Giger, Monika Rózanska-Walczuk, Justyna Swidrak, Krzysztof Kukielka, Jakub Mozaryn, Nuno Piçarra:
Polish Version of the Negative Attitude Toward Robots Scale (NARS-PL). J. Autom. Mob. Robotics Intell. Syst. 9(3): 65-72 (2015)
[j1]
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  - journals/ras/WawrzynskiMK15
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Pawel Wawrzynski, Jakub Mozaryn, Jan Klimaszewski:
Robust estimation of walking robots velocity and tilt using proprioceptive sensors data fusion. Robotics Auton. Syst. 66: 44-54 (2015)
2014
[c6]
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  - conf/mmar/MozarynKKSW14
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Jakub Mozaryn, Jan Klimaszewski, Pawel Kolodziejczyk, Dariusz Swieczkowski-Feiz, Pawel Wawrzynski:
Design process and experimental verification of the quadruped robot wave gait. MMAR 2014: 206-211
2013
[c5]
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  - conf/mmar/WawrzynaskiMK13
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Pawel Wawrzynski, Jakub Mozaryn, Jan Klimaszewski:
Robust velocity estimation for legged robot using on-board sensors data fusion. MMAR 2013: 717-722
2010
[c4]
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  - conf/icaisc/MozarynK10
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Jakub Mozaryn, Jerzy E. Kurek:
Design of a Neural Network for an Identification of a Robot Model with a Positive Definite Inertia Matrix. ICAISC (2) 2010: 321-328
[c3]
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  - conf/icann/MozarynK10
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Jakub Mozaryn, Jerzy E. Kurek:
Sliding Mode Control of Robot Based on Neural Network Model with Positive Definite Inertia Matrix. ICANN (2) 2010: 266-275

2000 – 2009

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2005
[c2]
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Jakub Mozaryn, Jerzy E. Kurek:
Comparison of Neural Network Robot Models with Not Inverted and Inverted Inertia Matrix. ICANN (2) 2005: 417-422
2004
[c1]
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  - conf/icaisc/MozarynK04
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Jakub Mozaryn, Jerzy E. Kurek:
Calculation of Model of the Robot by Neural Network with Robot Joint Distinction. ICAISC 2004: 792-797

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