About

Dmitry Yukhimets is a robotics and autonomous systems researcher whose work spans mobile robot navigation, underwater robotics, and industrial robot control. Based at a Russian research institution, his contributions have significantly advanced the development of intelligent control architectures for diverse robotic platforms operating in challenging environments. Yukhimets has made notable contributions to autonomous navigation, developing sensor fusion approaches combining onboard sensors and cameras through extended Kalman filtering, and pioneering smooth path planning algorithms using third-order Bézier splines for robots navigating unknown, obstacle-rich environments. His work on Arctic underwater robotic systems—his most cited contribution with 17 citations—proposed a comprehensive distributed digital platform architecture enabling coordinated technological operations in one of the world's most demanding operational settings. He has also advanced industrial robotics through innovative kinematic parameter identification methods that eliminate the need for expensive external measurement equipment, and virtual reality-based human-machine interfaces for robot programming. More recently, Yukhimets has turned toward multi-AUV cooperative path planning and intelligent mission planning under uncertainty, reflecting a broader vision for fully autonomous underwater systems. With cumulative citations approaching 80 across his published work, his research offers valuable insights for students and engineers working at the intersection of autonomous navigation, distributed control systems, and real-world robotic deployment.

Research Focus

Key Achievements

6
H-Index
13
Papers
82
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Development of a digital platform for the implementation of distributed control and navigation systems for underwater robotic systems performing technological operations in Arctic
17 citations · 2021
📈 Most Prolific Year: 2015 (3 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Institute of Automation and Control Processes, Far Eastern Federal University, Russian Academy of Sciences, Far Eastern Branch of the Russian Academy of Sciences

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago