Ali Mohammad Shafei
Papers
2
Total Citations
42
H-Index
2
About
Ali Mohammad Shafei is a leading researcher in the field of robotic systems, with a primary focus on the modeling, dynamics, and control of mobile and flexible-link manipulators. His work is distinguished by the application of advanced analytical methods to solve complex, real-world robotic challenges. Dr. Shafei’s most impactful contribution is his 2018 study on two-wheeled mobile robots, which has garnered 40 citations. In this work, he pioneered the use of the Gibbs–Appell method for kinematic and dynamic modeling, combined with a prediction-based control approach to achieve robust trajectory tracking under non-holonomic constraints and model uncertainties. This research is critical for the development of agile, self-balancing robots. Additionally, Dr. Shafei has explored the challenging domain of flexible robotic arms, developing automatic formulations for falling multiple-link manipulators using 3×3 rotational matrices. His work on impact dynamics provides a rigorous mathematical framework for understanding and simulating the behavior of flexible robots in contact scenarios, a key area for safe human-robot interaction and advanced manufacturing.
Research Focus
Key Achievements
Top Papers
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