Mohamed Salah Dahassa
Papers
3
Total Citations
10
H-Index
2
About
Mohamed Salah Dahassa is pioneering the convergence of quantum computing and classical robotics, with a specific focus on the optimal control of articulated robotic arms. His research introduces groundbreaking quantum-inspired algorithms to solve complex, high-dimensional control problems that challenge traditional methods. In his most-cited work, Dahassa developed a novel sliding mode controller based on qubit rotation angles, demonstrating a powerful new approach for efficient robotic manipulation. He further extends this frontier by reformulating optimal control as a quantum search problem, leveraging Grover’s algorithm to achieve a quadratic speedup in finding optimal control inputs for six-jointed arms. His work also explores quantum genetic algorithms (QGAs) to outperform classical genetic algorithms in path optimization. With his most recent papers from 2025 already accumulating citations, Dahassa’s contributions are rapidly establishing a new paradigm at the intersection of quantum mechanics and robotics. His innovative frameworks promise to unlock unprecedented efficiency and precision in robotic control, marking him as a rising leader in the field of quantum robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3