Papers
9
Total Citations
28
H-Index
3
About
Fedir Abramov is a researcher at the forefront of swarm robotics, specializing in bio-inspired algorithms for decentralized multi-robot coordination. His work focuses on adapting and extending nature-inspired algorithms—particularly the ant colony optimization and tandem running algorithms—to solve fundamental challenges in robot swarm control, including navigation, resource management, and team cohesion. Abramov’s most influential contribution is the adaptation of the ant algorithm for swarm robotics, demonstrating how decentralized control and local information sharing can enable effective collective behavior without centralized management. His 2020 paper on this topic has garnered 7 citations, establishing a foundation for subsequent work. He has further advanced the field by introducing innovations such as separate pheromone maps for substitute and complementary resources, mutual exclusion protocols for close-proximity operations, and route reservation mechanisms for dynamic environments. Abramov has also addressed practical swarm management challenges, including algorithms for locating missing swarm units and implementing teamwork behaviors through the tandem running algorithm. His 2024 work on active and passive search algorithms represents a significant step toward more sophisticated robot team coordination. With a growing body of publications spanning 2020-2024, Abramov continues to push the boundaries of what decentralized robot swarms can achieve.
Research Focus
Key Achievements
Top Papers
- 1Adaptation of the Ant Algorithm to Control a Robot Swarm7 citations · 2020
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- 4Adaptation of the Tandem Running Algorithm to Control a Robot Swarm2 citations · 2022
- 5Ant Algorithm with Mutual Exclusion2 citations · 2023
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- 7Ant Algorithm with Route Reservation2 citations · 2023
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- 9Tandem Running Algorithm with Route Selection2 citations · 2024