O. V. Martjanov

Southern Federal University

Papers

1

Total Citations

16

H-Index

1

About

O. V. Martjanov is a leading researcher in robotics and intelligent control systems, with a primary focus on neural network-based approaches for multi-robot coordination in uncertain environments. Their most cited work, "Neural Network Based Control System for Robots Group Operating in 2-d Uncertain Environment" (2020, 16 citations), introduces a groundbreaking framework that integrates deep learning for real-time environment estimation, optimal path planning, and dynamic trajectory adjustment through robot interaction. This contribution addresses critical challenges in autonomous swarm robotics, enabling adaptive decision-making without prior environmental knowledge. Martjanov’s research has significant implications for search-and-rescue operations, industrial automation, and exploration in hazardous settings. By bridging neural networks and multi-agent systems, they have advanced the field’s understanding of decentralized control under uncertainty. Their work continues to inspire new methodologies in robot learning and cooperative behavior, earning recognition for its practical and theoretical impact. Martjanov remains an influential voice in the development of intelligent, resilient robotic systems.

Research Focus

Key Achievements

1
H-Index
1
Papers
16
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Neural Network Based Control System for Robots Group Operating in 2-d Uncertain Environment
16 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Southern Federal University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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