Syu J-H, Lin JChun-Wei, Biernacki P, Ziębiński A.  2024.  Machine learning-based calibration approaches for single-beam and multiple-beam distance sensors. IEEE Sensors Journal.

Marek D, Paszkuta M, Szyguła J, Biernacki P, Domański A, Szczygieł M, Król M, Wojciechowski K.  2024.  Swarm of drones in a simulation environment - efficiency and adaptation. Applied Sciences-Basel.

Biernacki P, Ziębiński A, Syu J-H, Lin JChun-Wei.  2023.  The Calibration of Single Beam Distance Sensors based on Machine Learning Methods. 2023 IEEE International Conference on Big Data.

Marek D, Paszkuta M, Szyguła J, Biernacki P, Domański A, Szczygieł M, Król M, Wojciechowski K.  2023.  General Concepts in Swarm of Drones Control: Analysis and Implementation. 2023 IEEE International Conference on Big Data.

Szyguła J, Biernacki P, Marek D, Domański A, Sobczak Ł, Flak J, Caban D, Pawlas P.  2022.  Analysis of web-based geo-visualization methods applied for Automated Guided Vehicle using Satellite Navigation Systems. 2022 IEEE International Conference on Big Data.

Pavliuk O, Stęclik T, Biernacki P.  2022.  The forecast of the AGV battery discharging via the machine learning methods. 2022 IEEE International Conference on Big Data.

Marek D, Biernacki P, Szyguła J, Domański A.  2022.  General concepts of a simulation method for automated guided vehicle in Industry 4.0. 2022 IEEE International Conference on Big Data.

Biernacki P, Ziębiński A, Grzechca D.  2021.  The adaptive calibration method for single-beam distance sensors. 14th International Conference on Computational Collective Intelligence (ICCCI 2021).

Ziębiński A, Mrozek D, Cupek R, Grzechca D, Fojcik M, Drewniak M, Kyrkjebo E, Lin JChun-Wei, Ovsthus K, Biernacki P.  2021.  Challenges associated with sensors and data fusion for AGV-driven smart manufacturing. 21st International Conference on Computational Science (ICCS 2021).