Mohamad Al Ahdab

Papers

Total Citations

H-Index

About

Mohamad Al Ahdab is a robotics researcher whose work centers on the modeling and control of dynamically unstable mobile robots, with a particular focus on ballbots—single-ball balancing platforms. His most-cited contribution, "Path-Following Model Predictive Control of Ballbots" (2020), introduces a novel control framework that simplifies the complex quaternion-based dynamics of these systems, enabling stable and precise path tracking. This work addresses a fundamental challenge in balancing robotics: maintaining equilibrium while executing trajectory-following tasks. With 8 citations, this paper has established a foundation for subsequent research in agile, single-point-contact locomotion. Al Ahdab’s contributions are notable for bridging theoretical control design with practical implementation, offering a streamlined model that reduces computational overhead without sacrificing performance. His research is particularly relevant for applications in personal mobility, inspection, and entertainment robotics, where compact, omnidirectional platforms are essential. By advancing the state of the art in ballbot control, Al Ahdab has provided a valuable resource for engineers and researchers working on nonholonomic systems and model predictive control.