Kastytis Sarkauskas
Papers
2
Total Citations
5
H-Index
2
About
Kastytis Sarkauskas is a researcher focused on advancing autonomous navigation and collision avoidance for mobile and logistic robots. His work addresses critical challenges in robotics, particularly in known environments where efficient path planning and real-time safety are paramount. Sarkauskas introduced the "Method of Vector Marks Tree Generation," a novel approach for logistic robot path planning that models environments by assigning vector marks to prominent edges, enabling efficient route generation. This work, published in 2023, has already garnered 3 citations, highlighting its emerging relevance. His earlier contribution, the "Virtual Cocoons" method for mobile robot collision prediction, uses mathematical representations of virtual cocoons to evaluate collision criteria between robots. Published in 2021 with 2 citations, this research provides a foundational framework for preemptive collision avoidance through experimental simulations. Together, these contributions demonstrate Sarkauskas’s commitment to developing practical, computationally efficient solutions for autonomous robotics, with potential applications in logistics, warehouse automation, and multi-robot systems. His work represents a meaningful step toward safer and more reliable robot navigation in complex environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Mobile Robots’ Collision Prediction Based on Virtual Cocoons2 citations · 2021