Georgy V. Moiseev
Papers
4
Total Citations
40
H-Index
3
About
Georgy V. Moiseev is a robotics researcher whose work spans multi-robot coordination, legged locomotion, and agricultural automation. His most influential paper, "Multi-robot collaborative radioactive source search based on particle fusion and adaptive step size" (2022, 21 citations), introduces a novel approach to distributed search using particle filters and adaptive algorithms, advancing the field of autonomous hazard detection. In legged robotics, Moiseev tackles the critical challenge of fall recovery in quadruped robots. His 2023 paper on self-recovery control using reinforcement learning (10 citations) addresses real-world failures on stairs or slippery surfaces, proposing a learning-based solution for post-fall uprighting—a key step toward robust deployment. For agricultural applications, he developed motion control systems for autonomous wheeled platforms in orchards, combining inertial and satellite navigation with traversed path calculation (2023, 8 citations). His 2022 work on the components and control algorithms of agricultural robotic platforms further solidifies his contribution to precision farming. With a growing citation record, Moiseev’s research demonstrates a practical focus on making robots more autonomous, resilient, and field-ready.
Research Focus
Key Achievements
Top Papers
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- 3Agricultural Autonomous Robotic Platform Motion Control8 citations · 2023
- 4