Papers
18
Total Citations
90
H-Index
5
About
O.V. Darintsev is a robotics researcher whose work centers on multi-agent systems, swarm intelligence, and autonomous mobile robot coordination. With a career spanning over a decade of productive inquiry, Darintsev has established a distinctive research identity at the intersection of decentralized control architectures and soft computing methodologies applied to robotic teams. His most influential contribution, "Methods of a Heterogeneous Multi-agent Robotic System Group Control" (2019, 28 citations), introduced a high-level decentralized framework enabling groups of mobile robots to share information, decompose complex operator-assigned tasks, and dynamically form functional subgroups — a foundational advance for autonomous multi-robot coordination. Building on this, Darintsev has systematically explored how genetic algorithms, ant colony optimization, Hopfield neural networks, and swarm-inspired approaches can optimize task distribution while minimizing energy consumption, producing a coherent and cumulative body of work that has collectively attracted over 75 citations. Beyond swarm coordination, Darintsev has extended his expertise to pipeline inspection robotics, investigating modular, adaptive multi-segment robots capable of navigating complex topologies. His 2022 analytical review of soft computing approaches for robot team task allocation reflects his broader commitment to synthesizing and advancing the field. His research offers valuable theoretical and practical insights for engineers and computer scientists working on next-generation autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Methods of a Heterogeneous Multi-agent Robotic System Group Control28 citations · 2019
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- 10Algorithm of Trajectories Synthesis for Modular Wheeled Inspection Robot2 citations · 2023