Agnieszka Lazarowska
Papers
5
Total Citations
224
H-Index
4
About
Agnieszka Lazarowska is a leading researcher in autonomous navigation and intelligent control systems, with her work bridging the critical gap between maritime and mobile robotics. Her primary research areas include trajectory planning, path optimization, and the application of machine learning to robot control. Her most impactful contribution is a novel deterministic decision support system for ship trajectory planning (2016), which has garnered 103 citations and established a new paradigm for safe maritime navigation. She further advanced the field with the Discrete Artificial Potential Field (DAPF) algorithm (2019, 49 citations), a groundbreaking method that overcomes the limitations of classical potential field approaches for mobile robot path planning. Demonstrating her forward-thinking approach, her comprehensive survey on machine learning approaches for mobile robot control (2024) has already accumulated 42 citations, highlighting the growing importance of AI in this domain. Lazarowska’s work is distinguished by its practical, algorithmic focus—she develops trajectory databases and multi-criteria optimization methods that operate effectively in dynamic environments. Her achievements position her as a key figure in the evolution of autonomous systems, from ships to ground robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2Discrete Artificial Potential Field Approach to Mobile Robot Path Planning49 citations · 2019
- 3A Survey of Machine Learning Approaches for Mobile Robot Control42 citations · 2024
- 4A Trajectory Base Method for Ship's Safe Path Planning27 citations · 2016
- 5