Alexey S. Eremin
Papers
1
Total Citations
2
H-Index
1
About
Alexey S. Eremin is a researcher focused on algorithmic optimization in pathfinding, particularly for uniform-cost grids—a core challenge in domains like computer games, robotics, and navigation systems. His most notable contribution is the modification of the JPS+ algorithm, a state-of-the-art method for accelerating pathfinding on grid maps. Eremin’s work introduces a novel pre-processing logic that leverages visibility graphs to reduce pathfinding time, offering a more efficient alternative to traditional approaches. While his most-cited paper has garnered 2 citations, its significance lies in addressing a practical bottleneck in real-time applications, where even marginal speed improvements can enhance user experience and system performance. Eremin’s research bridges theoretical algorithm design and applied computational geometry, making it relevant for developers and researchers seeking to optimize movement planning in constrained environments. His focus on refining established algorithms underscores a commitment to incremental yet impactful innovation—a valuable approach in a field where efficiency gains directly translate to tangible benefits in interactive and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1