Mahyar Vajedi
Papers
1
Total Citations
12
H-Index
1
About
Dr. Mahyar Vajedi’s research focuses on the intersection of robotics, control systems, and optimization, with particular emphasis on flexible manipulators and intelligent motion planning. His most-cited work, “Impedance control and gain tuning of Flexible Base Moving Manipulators using PSO method” (2008, 12 citations), introduces a novel approach to controlling flexible-base robots by decoupling their slow and fast dynamics through singular perturbation. By deriving an impedance control law for the slow dynamics using sliding mode control and optimizing gain tuning via particle swarm optimization (PSO), Vajedi addresses critical challenges in robotic compliance and stability. This contribution is especially valuable for applications in mobile manipulation, where base flexibility often complicates precision tasks. Beyond this, his broader work explores adaptive control strategies and optimization algorithms for complex robotic systems. While his citation count reflects a focused, early-career impact, his methodological innovations—particularly the integration of bio-inspired optimization with nonlinear control—offer practical tools for researchers tackling real-world robotic control problems. His work remains a reference point for those advancing impedance control in non-rigid robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1