Iakov Korovin
Papers
5
Total Citations
39
H-Index
4
About
Iakov Korovin’s research lies at the intersection of robotics, decentralized control systems, and intelligent monitoring, with a strong focus on enhancing the dependability and resilience of robotic swarms. His major contributions include developing recovery methods for robotic control systems with performance redundancy, which allow groups of robots to maintain functionality even when individual units fail. Korovin’s work on fog-computing-based reliability enhancement further advances the robustness of robot swarms, enabling them to execute complex task flows in dynamic environments. Notably, his 2018 paper on oil field monitoring using groups of mobile micro-robots and distributed neural networks proposes a novel approach to preliminary data analysis, where micro-robots form coalitions to process information locally. This work, along with his other publications, has accumulated over 39 citations, reflecting its growing influence. Korovin’s achievements are particularly relevant for students and researchers interested in decentralized robotics, fault-tolerant systems, and the application of distributed intelligence to real-world monitoring challenges.
Research Focus
Key Achievements
Top Papers
- 1
- 2Improving Dependability of Reconfigurable Robotic Control System9 citations · 2017
- 3
- 4The Fog-Computing Based Reliability Enhancement in the Robot Swarm6 citations · 2019
- 5