M. Brooshaki
Papers
1
Total Citations
12
H-Index
1
About
M. Brooshaki is a researcher whose work lies at the intersection of robotics, control systems, and optimization, with a particular focus on flexible-base moving manipulators. Their most-cited paper, "Impedance control and gain tuning of Flexible Base Moving Manipulators using PSO method" (2008, 12 citations), introduces a novel approach to controlling robots with non-rigid bases—a critical challenge for mobile manipulation in unstructured environments. Brooshaki’s key contribution involves decoupling the robot’s slow and fast dynamics using singular perturbation theory, then applying sliding mode control to derive an impedance control law for the slow subsystem. To optimize performance, they employ Particle Swarm Optimization (PSO) for gain tuning, bridging classical control theory with modern metaheuristic methods. This work has been cited by researchers advancing adaptive and robust control for flexible robots, demonstrating its relevance in fields like industrial automation and field robotics. Brooshaki’s research is particularly notable for addressing the practical difficulties of real-world manipulators, where base flexibility can degrade precision and stability. Their integration of impedance control with optimization techniques offers a valuable framework for designing safer, more adaptable robotic systems.
Research Focus
Key Achievements
Top Papers
- 1