Uniwersytet Morski w Gdyni UMG

Invitation of contributions to the Special Issue of Robotics (MDPI): https://www.mdpi.com/journal/robotics/special_issues/Navigation_USV

Something more about me: https://umg.edu.pl/en/news/2023/gmus-young-scientists-agnieszka-lazarowska-phdeng

ORCID iD: https://orcid.org/0000-0002-6869-5553

Web of Science: https://www.webofscience.com/wos/author/record/46250380

Scopus:  https://www.scopus.com/authid/detail.uri?authorId=55618040800

ResearchGate: https://www.researchgate.net/profile/Agnieszka_Lazarowska

Google Scholar: https://scholar.google.pl/citations?hl=pl&user=8cVHhGMAAAAJ

Achievements: https://umg.edu.pl/en/news/2024/gmu-researchers-again-named-world’s-top-2

https://umg.edu.pl/en/news/2023/gmu-staff-again-among-top-2-most-influential-researchers

https://umg.edu.pl/en/news/2022/gmu-staff-again-among-top-2-most-influential-researchers

Research areas: automation and robotics, guidance systems, navigation systems, ship control systems, Decision Support Systems, path planning algorithms, deterministic and non-deterministic optimization methods, artificial intelligence, swarm intelligence, safe navigation, autonomous vehicles, unmanned and autonomous ships

Research projects: 2018 – 2019 Research on New Obstacle Avoidance Algorithms for Ships (NOAA), research coordinator and principal investigator, founded by the International Association of Maritime Universities (IAMU) and the Nippon Foundation from Japan.

Most important publications:

• Lazarowska A., 2024, A Comparative Analysis of Computational Intelligence Methods for Autonomous Navigation of Smart Ships, Electronics, Vol. 13 (7), 1370, https://doi.org/10.3390/electronics13071370.

• Rybczak M., Popowniak N., Lazarowska A., 2024, A Survey of Machine Learning Approaches for Mobile Robot Control, Robotics, Vol. 13 (1), 12, https://doi.org/10.3390/robotics13010012.

• Lazarowska A., 2023, A comparison of the Firefly Algorithm and the Ant Colony Optimization for ship collision avoidance, Procedia Computer Science, Vol. 225, pp. 2037-2046, https://doi.org/10.1016/j.procs.2023.10.194.

• Lazarowska A., 2023, Impact of the grid size on the performance of Ant Colony Optimization-based algorithm for ship safe path planning, Lecture Notes in Networks and Systems, Advanced, Contemporary Control: Proceedings of the XXI Polish Control Conference, Gliwice, Poland, 2023, Vol. 2, p. 371-381, Springer Cham, https://doi.org/10.1007/978-3-031-35173-0_35.

• Lazarowska A., 2023, A nature inspired collision avoidance algorithm for ships, TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 17(2), pp. 341-346, http://dx.doi.org/10.12716/1001.17.02.10.

• Lazarowska A., 2022, Safe Trajectory Planning for Maritime Surface Ships, Vol. 13, Springer Series on Naval Architecture, Marine Engineering, Shipbuilding and Shipping, Springer Cham, Switzerland, ISBN: 978-3-030-97714-6, https://doi.org/10.1007/978-3-030-97715-3.

• Lazarowska A., Żak A., 2022, A Concept of Autonomous Multi-Agent Navigation System for Unmanned Surface Vessels, Electronics, Vol. 11 (18), 2853, https://doi.org/10.3390/electronics11182853.

• Lazarowska A., 2021, Review of Collision Avoidance and Path Planning Methods for Ships Utilizing Radar Remote Sensing, Remote Sensing, Vol. 13 (16), p. 3265, https://doi.org/10.3390/rs13163265.

• Lazarowska A., 2020, Comparison of Discrete Artificial Potential Field Algorithm and Wave-Front Algorithm for Autonomous Ship Trajectory Planning, IEEE Access, Vol. 8, p. 221013-22102, https://doi.org/10.1109/ACCESS.2020.3043539.

• Lazarowska A., 2020, A discrete planning approach in collision avoidance for smart ships, Procedia Computer Science, Vol. 176, pp. 380-389.

• Lazarowska A., 2020, A Discrete Artificial Potential Field for Ship Trajectory Planning, The Journal of Navigation, Vol. 73(01), pp. 233-251, https://doi.org/10.1017/S0373463319000468.

• Lazarowska A., 2019, Discrete Artificial Potential Field Approach to Mobile Robot Path Planning, IFAC-PapersOnLine, Vol. 52(8), pp. 277-282.

• Lazarowska A., 2019, Verification of ship's trajectory planning algorithms using real navigational data, TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 13(3), pp. 559-564.

• Lazarowska A., 2019, Research on algorithms for autonomous navigation of ships , WMU Journal of Maritime Affairs, Vol. 18, pp. 341-358.

• Lazarowska A., 2019, An Efficient Graph Theory-Based Algorithm for Ship Trajectory Planning, Transactions of the Royal Institution of Naval Architects Part A: International Journal of Maritime Engineering, Vol. 161, pp. 155-161, https://doi.org/10.5750/ijme.v161iA2.1087.

• Lazarowska A., 2018, A New Potential Field Inspired Path Planning Algorithm for Ships , 23rd International Conference on Methods & Models in Automation & Robotics (MMAR), pp. 166-170.

• Lazarowska A., 2017, A new deterministic approach in a decision support system for ship’s trajectory planning , Expert Systems with Applications, Vol. 71, pp. 469-478, https://doi.org/10.1016/j.eswa.2016.11.005.

• Lazarowska A., 2017, Multi-criteria trajectory base path planning algorithm for a moving object in a dynamic environment , IEEE International Conference on INnovations in Intelligent SysTems and Applications (INISTA), pp. 79-83.

• Lazarowska A., 2017, Multi-criteria ACO-based algorithm for ship’s trajectory planning, TransNav: International Journal on Marine Navigation and Safety of Sea Transportation, Vol. 11(1), pp. 31-36.

• Lazarowska A., 2016, A Trajectory Base Method for Ship's Safe Path Planning , Procedia Computer Science, Vol. 96, pp. 1022–1031.

• Lazarowska A., 2016, Method of considering the dynamics of a ship in the process of determining a safe trajectory using an algorithm based on Ant Colony Optimization , The 21st International Conference on Methods and Models in Automation and Robotics (MMAR 2016).

• Lazarowska A., 2015, Swarm Intelligence Approach to Safe Ship Control, Polish Maritime Research, Vol. 22, No 4(88), pp. 34-40, https://doi.org/10.1515/pomr-2015-0068.

• Lazarowska A., 2015, Parameters Influence on the Performance of an Ant Algorithm for Safe Ship Trajectory Planning, IEEE 2nd International Conference on Cybernetics (CYBCONF).

• Lazarowska A., 2015, Ship's Trajectory Planning for Collision Avoidance at Sea Based on Ant Colony Optimisation, The Journal of Navigation, 68(02): 291- 307, https://doi.org/10.1017/S0373463314000708.

• Lazarowska A., 2014, Ant Colony Optimization based Navigational Decision Support System, Procedia Computer Science, Vol.35: 1013–1022.

• Lazarowska A., 2014, Safe ship control method with the use of Ant Colony Optimization, Solid State Phenomena, Vol. 210: 234-244.

• Lisowski J., Lazarowska A., 2014, Comparison of dynamic programming and swarm intelligence based algorithms for ship's collision avoidance. Aktualne problemy automatyki i robotyki, Akademicka Oficyna Wydawnicza EXIT: 614- 623.

• Lisowski J., Lazarowska A., 2013, The radar data transmission to computer support system of ship safety. Solid State Phenomena, Vol. 196: 95-101.

• Lazarowska A., 2012, Decision support system for collision avoidance at sea. Polish Maritime Research, Vol. 19, No 74S: 19-24, https://doi.org/10.2478/v10012-012-0018-2.