M. Bayarpurev
Papers
1
Total Citations
2
H-Index
1
About
M. Bayarpurev is a researcher focused on mobile robotics, with a particular emphasis on localization and control systems for differential drive platforms. His most cited work, "Coordinate Estimation Scheme for Differential Mobile Robots Using Rotary Encoder" (2019), addresses a fundamental challenge in real-time robotics: accurate position tracking. By proposing three distinct coordinate estimation schemes that leverage rotary encoders mounted on the differential axis, Bayarpurev provides practical, low-cost solutions for recovering yaw angle and improving dead-reckoning accuracy. This contribution is critical for applications ranging from autonomous navigation to industrial automation, where precise localization is essential. While his citation count remains modest at 2 for this paper, the work demonstrates a solid foundation in sensor fusion and kinematic modeling. Bayarpurev’s research bridges theoretical estimation algorithms with real-world implementation, offering valuable insights for students and engineers developing cost-effective mobile robot systems. His focus on encoder-based methods highlights a pragmatic approach to overcoming sensor limitations, making his work a useful reference for those entering the field of mobile robotics and control systems.
Research Focus
Key Achievements
Top Papers
- 1