Igor Shapovalov
Papers
2
Total Citations
12
H-Index
2
About
Igor Shapovalov is a researcher in the field of swarm robotics and multi-agent systems, with a focus on self-organization and decentralized control. His work explores how groups of intelligent robots can coordinate autonomously in uncertain, non-deterministic environments. In his most cited paper, "Self-organization in Groups of Intelligent Robots" (2015, 9 citations), he investigates emergent collective behaviors without centralized supervision. His follow-up study, "Group robot control in non-deterministic environments using the potential field method" (2016, 3 citations), introduces an innovative approach that leverages a space lattice concept to minimize computational overhead, enabling robots to efficiently determine their spatial positions within a formation. This method is particularly valuable for real-time applications where environmental unpredictability poses significant challenges. Though his citation counts are modest, Shapovalov’s contributions are notable for their practical emphasis on computational efficiency and scalability in robot group control. His work lays important groundwork for future developments in autonomous swarm systems, especially in scenarios requiring robust, low-cost coordination.
Research Focus
Key Achievements
Top Papers
- 1Self-organization in Groups of Intelligent Robots9 citations · 2015
- 2