Andrei Yu. Zhivitskii
Papers
6
Total Citations
16
H-Index
3
About
Andrei Yu. Zhivitskii is a robotics researcher whose work bridges the gap between theoretical control algorithms and practical, real-world implementation. His research focuses on robust trajectory control, mobile robotics, and the design of omnidirectional platforms, with a particular emphasis on systems operating under incomplete information. Zhivitskii has made significant contributions to the field through experimental validation of control algorithms on real hardware, including holonomic mobile robots and surface vessels. His work on robust output control for surface vessels, which addresses parametric uncertainties and external disturbances, demonstrates his commitment to solving complex, real-world engineering challenges. With over 16 citations across his most-cited papers, Zhivitskii’s impact is evident in both the academic and practical realms. Notably, his 2024 experimental study on trajectory control algorithms under incomplete information has garnered attention for its rigorous testing on actual robotic platforms. Additionally, his work on student advising services and project-oriented training at ITMO University highlights his dedication to advancing robotics education. Zhivitskii’s research continues to push the boundaries of robust control and mobile robotics, making him a valuable contributor to the field.
Research Focus
Key Achievements
Top Papers
- 1Student Advising Services in Control Systems and Robotics*4 citations · 2022
- 2
- 3QUALITY IMPROVEMENTS OF OMNIDIRECTIONAL PLATFORMS3 citations · 2023
- 4
- 5
- 6Parameter Estimation and Indirect Adaptive Control of a Robot Arm2 citations · 2022