Andrey Kozlovich
Papers
1
Total Citations
2
H-Index
1
About
Andrey Kozlovich is a robotics researcher focused on the control and navigation of autonomous wheeled mobile robots, particularly in constrained environments. His work addresses the critical challenge of maneuvering differential drive robots through tight spaces while maintaining precise trajectory tracking. In his most cited paper, "Autonomous wheeled mobile robot maneuvering in constraint environment. Trajectory tracking quality criteria" (2021, 2 citations), Kozlovich introduces novel control system synthesis approaches that account for the geometric features of both the robot and its surroundings. This contribution is significant for applications in warehouse logistics, search-and-rescue operations, and industrial automation, where robots must navigate obstacles without collision. By defining quality criteria for trajectory tracking, his research provides a framework for evaluating and improving robot performance in real-world scenarios. Though his citation count is modest, Kozlovich's work represents foundational steps toward more reliable and adaptable autonomous systems. His focus on practical constraints and geometric considerations sets the stage for future advancements in mobile robotics, making his research valuable for students and engineers developing next-generation autonomous vehicles.
Research Focus
Key Achievements
Top Papers
- 1