Papers
7
Total Citations
33
H-Index
3
About
Andrei Vukolov is a robotics researcher whose work centers on the design, navigation, and control of autonomous mobile platforms, particularly wheel-legged and differential-drive unmanned ground vehicles. His most cited paper, “Mathematical Model of 3-P Wheel-Legged Mobile Robotic Platform” (12 citations), addresses the complex motion control challenges of hybrid walking-rolling robots, providing a foundational kinematic and algorithmic framework. Vukolov has also made notable contributions to environmental perception, as seen in his work on structural obstacle recognition for elevated terrain objects (7 citations), and to autonomous docking systems for differential chassis vehicles (5 citations). His recent research includes optimized trajectory planning using D* algorithms for dense environments and the development of a universal configurable navigation and control system for industrial UGVs. Beyond core robotics, Vukolov has applied his expertise to educational contexts, integrating robotic systems into AI curricula and creating 3D modeling tools for engineering training. With a growing portfolio of peer-reviewed publications, his work bridges theoretical modeling and practical autonomous navigation, offering valuable insights for students and researchers in mobile robotics and intelligent control systems.
Research Focus
Key Achievements
Top Papers
- 1Mathematical Model of 3-P Wheel-Legged Mobile Robotic Platform12 citations · 2017
- 2
- 3
- 4
- 5
- 6
- 7