Saeed Shahmiri

South Dakota School of Mines and Technology

Papers

Total Citations

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About

Saeed Shahmiri specializes in advanced control systems for non-holonomic and underactuated robotic platforms, with a particular focus on spherical robots and mixed-actuation mobile robots. His most impactful work, "Fuzzy-Based Sliding Mode Control and Sliding Mode Control of a Spherical Robot" (13 citations), addresses the fundamental challenge of position and trajectory tracking in spherical robots—systems whose complex coupled dynamics and non-holonomic constraints render linear controllers insufficient. By developing fuzzy-based sliding mode control strategies, Shahmiri has contributed robust solutions that enhance maneuverability and stability in these inherently difficult-to-control platforms. His research on trajectory tracking for Mixed conventional/braking Actuation Mobile Robots (MAMRs) using Model Predictive Control (2 citations) further demonstrates his innovative approach to steering mechanisms, particularly in scenarios involving primary actuation failure. This work not only solves practical drawbacks of conventional mobile robot designs but also opens pathways for more resilient robotic systems. Shahmiri’s contributions are valuable for researchers and students working on nonlinear control, robotics dynamics, and autonomous navigation, offering both theoretical depth and practical engineering insights for next-generation mobile robots.