Mohammad Shokri
Papers
1
Total Citations
2
H-Index
1
About
Mohammad Shokri is a robotics researcher whose work centers on the critical intersection of battery management and autonomous mobile systems. His primary research areas include state-of-charge (SoC) estimation, battery modeling, and real-time control for mobile robots. Shokri’s major contribution lies in developing a novel methodology that combines cubic spline interpolation with moving horizon estimation to accurately track battery status, directly addressing the challenge of limited battery life in autonomous platforms. This approach enhances a robot’s ability to complete its mission by providing more reliable power management. His most-cited paper, "Battery Identification With Cubic Spline and Moving Horizon Estimation for Mobile Robots" (2024), has already garnered early attention with 2 citations, signaling growing interest in his practical solutions. By improving how robots monitor and predict their energy reserves, Shokri’s work has significant implications for the reliability and autonomy of field robots, from exploration to logistics. His research is particularly valuable for students and engineers seeking to extend the operational capabilities of battery-dependent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1