Max Robotics — Global Service Robot Directory + US Certification

About

A. M. Bassiuny’s research focuses on advancing the reliability and precision of electromechanical and robotic systems through advanced control and fault detection techniques. A key contribution is his work on model-based sensor fault detection for Brushless DC (BLDC) motors using Luenberger observers, a critical method for enhancing the safety and maintainability of mechatronic and robotic applications. His work in this area has garnered foundational citations. Bassiuny has also made significant strides in teleoperation, particularly in the optimal control of master-slave robotic systems. By applying and comparing advanced controllers—including Nonlinear PID (NPID) and Fractional Order PID (FOPID)—he has developed strategies to improve the performance of systems used in surgery, underwater vehicles, and power line maintenance. His research extends to optimal motion planning, where he has proposed feasible methods for generating minimum-time trajectories for robot manipulators. Through these contributions, Bassiuny has established a focused body of work that directly addresses practical challenges in robotics and industrial automation, impacting both theoretical understanding and real-world system design.