Papers

2

Total Citations

8

H-Index

2

About

Vyacheslav Khachumov is a researcher specializing in autonomous systems, artificial intelligence, and game-theoretic control, with a particular focus on the challenging domain of pursuit–evasion problems involving unmanned aerial vehicles (UAVs). His work sits at the intersection of intelligent control theory, geometric modeling, and robotic motion planning, addressing some of the most computationally demanding problems in multi-agent autonomous systems. Khachumov's most notable contributions center on developing practical and theoretically grounded solutions to pursuit–evasion games, scenarios where mobile robotic systems must optimally chase or evade one another in uncertain, dynamic environments. His 2023 paper on intelligent–geometric control theory advances action-planning frameworks for multi-pursuer scenarios against high-speed evaders, while his 2021 work systematically explores planar pursuit–evasion strategies, including piecewise-linear and circular arc trajectories, bringing mathematical rigor to real-world UAV operations. Both papers have attracted citations within a competitive and growing research community, reflecting their relevance to modern autonomous systems design. His research has meaningful implications for defense, search-and-rescue, and autonomous navigation applications, positioning him as a notable contributor to the rapidly evolving field of intelligent UAV control and multi-agent robotic systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
8
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Modeling the Solution of the Pursuit–Evasion Problem Based on the Intelligent–Geometric Control Theory
4 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Peoples' Friendship University of Russia

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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