Anton Kodochygov
Papers
1
Total Citations
9
H-Index
1
About
Anton Kodochygov is a researcher whose work bridges multi-agent systems, simulation, and path planning, with a particular focus on pursuit-evasion dynamics. His most cited paper, "Toward realistic pursuit-evasion using a roadmap-based approach" (2011, 9 citations), introduces a novel methodology that combines graph-based environmental representations with roadmap-based path planning to model group behaviors in pursuit-evasion scenarios. This work stands out for its practical orientation, moving beyond abstract theoretical models to address more realistic, complex environments where multiple agents interact. By integrating multi-agent simulation with strategic path planning, Kodochygov's approach enables more faithful representations of real-world pursuit-evasion, with potential applications in robotics, security, and autonomous systems. While his citation count is modest, the work's focus on realism and scalability marks a meaningful contribution to the field, offering a foundation for future research in multi-agent coordination and adversarial simulations.
Research Focus
Key Achievements
Top Papers
- 1Toward realistic pursuit-evasion using a roadmap-based approach9 citations · 2011