Alimzhan Murbabulatov
Papers
1
Total Citations
2
H-Index
1
About
Alimzhan Murbabulatov is a robotics researcher whose work focuses on the control and navigation of mobile robots, particularly skid-steering platforms. His key contributions lie in developing advanced model predictive control (MPC) frameworks for path following in complex, obstacle-laden environments. His most-cited work, "Spatial-Based Model Predictive Path Following Control for Skid Steering Mobile Robots" (2022), introduces a novel spatial kinematic model that allows a robot to follow a predefined path while simultaneously avoiding stationary obstacles. This approach is critical for improving the autonomy and safety of skid-steered mobile robots (SSMRs), which are common in industrial and field robotics. With a growing citation count, Murbabulatov’s work is gaining traction among researchers in control theory and mobile robotics. His research directly addresses the challenge of integrating path planning and obstacle avoidance in real-time, a key step toward more reliable autonomous navigation. By bridging theoretical control methods with practical robotic applications, Murbabulatov is contributing to the next generation of intelligent, agile mobile robots.
Research Focus
Key Achievements
Top Papers
- 1