Olga Strikuliene
Papers
1
Total Citations
3
H-Index
1
About
Olga Strikuliene is a researcher focused on the intersection of robotics, logistics, and autonomous navigation. Her primary research area centers on developing efficient path planning algorithms for mobile robots operating in known environments. Her most notable contribution is the "Method of Vector Marks Tree Generation," a novel two-step approach that models a virtual environment by assigning vector marks to prominent edges, enabling a robot to navigate and plan optimal routes. This work, published in 2023, has already garnered 3 citations, signaling its relevance in the rapidly evolving field of logistic robotics. Strikuliene’s research addresses critical challenges in warehouse automation and material handling, aiming to enhance the efficiency and reliability of autonomous systems. Her method stands out for its structured, deterministic approach to path generation, offering a practical solution for real-world logistics applications. As a researcher, she is contributing to the foundational technologies that will drive the next generation of intelligent, self-navigating robots in industrial settings.
Research Focus
Key Achievements
Top Papers
- 1