Boris Gurenko

About

Boris Gurenko is a robotics and control systems researcher whose work spans autonomous aerial, ground, and marine vehicles. His research focuses on motion planning, autopilot design, and adaptive control systems for unmanned platforms operating in complex, real-world environments. Gurenko's most influential contribution is his pioneering work on robotic airship control, beginning with "Airship Autopilot Design" (2011, 24 citations), which developed a nonlinear mathematical model and control framework accounting for aerodynamic and structural disturbances — a foundational reference in lighter-than-air robotic systems. This work was extended in his 2014 study on position-trajectory control for unmanned airships (14 citations), demonstrating a sustained commitment to reliable autonomous navigation. Beyond aerial platforms, Gurenko has made notable contributions to multi-robot coordination, proposing a decentralized control strategy for groups of vehicles navigating obstacle-laden environments (2016, 9 citations), and to path planning for robots with velocity-dependent maneuver restrictions (2021). His development of simulators for underwater vehicles reflects a practical engineering sensibility, enabling safer and more cost-effective prototype testing. With over 75 cumulative citations across diverse robotic domains, Gurenko represents a versatile control systems engineer whose work provides essential theoretical and practical tools for researchers advancing autonomous vehicle technology.

Research Focus

Key Achievements

Top Papers

1. 1
   Airship Autopilot Design

   24 citations · 2011
2. 2
   Position-Trajectory Control System for Unmanned Robotic Airship

   14 citations · 2014
3. 3
   Decentralized Control of a Group of Homogeneous Vehicles in Obstructed Environment

   9 citations · 2016
4. 4
   Basic algorithms of adaptive position-path control systems for mobile units

   9 citations · 2015
5. 5
   Path planning method for mobile robot with maneuver restrictions

   6 citations · 2021
6. 6
   Mathematical Model of the Surface Mini Vessel

   4 citations · 2016
7. 7
   Development of Simulator for Intelligent Autonomous Underwater Vehicle

   3 citations · 2015
8. 8
   Study of Path Planning Methods in Two-Dimensional Mapped Environments

   3 citations · 2023
9. 9
   Autonomous Underwater Vehicle Mathematical Model and Simulator

   2 citations · 2016
10. 10
    Development and Research of a Terminal Controller for Marine Robots

    2 citations · 2020

Key Collaborators

Contact & Links