Valeriia Izhboldina

Photochemistry Center, St. Petersburg Institute for Informatics and Automation

Papers

Total Citations

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About

Valeriia Izhboldina is a researcher in swarm robotics and autonomous systems, with a primary focus on the coordinated movement of unmanned aerial vehicles (UAVs) in complex, dynamic environments. Her work addresses critical challenges in multi-agent path planning and obstacle avoidance, essential for real-world applications like environmental monitoring and search-and-rescue operations. Her most cited paper, "Group movement of UAVs in environment with dynamic obstacles: a survey" (2022, 7 citations), provides a comprehensive overview of control strategies for UAV swarms performing shared missions, highlighting key algorithms and open problems in the field. Additionally, her earlier work, "A*-Based Path Planning Algorithm for Swarm Robotics" (2020, 2 citations), introduces a practical adaptation of the classic A* search algorithm for multi-robot coordination, offering a foundation for efficient, collision-free navigation. Izhboldina’s contributions bridge theoretical path planning with real-world constraints, advancing the scalability and robustness of swarm systems. Her research is particularly valuable for students and engineers seeking to understand how autonomous groups can operate safely amid dynamic obstacles, making her a notable voice in the growing domain of aerial swarm intelligence.