Mladen Dragovic

Papers

Total Citations

H-Index

About

Mladen Dragovic is a researcher specializing in advanced robotics and intelligent control systems, with a focus on iterative learning control (ILC) and hardware integration for multi-degree-of-freedom robotic platforms. His major contributions include the development of an innovative open-closed-loop PIDD²/PID type ILC for trajectory tracking in time-varying robotic manipulators, which combines computed torque control with iterative learning to enhance precision and adaptability—a key advance for industrial and medical robotics. This work, published in 2018, has garnered 5 citations, reflecting its niche but growing relevance. In parallel, Dragovic engineered a sophisticated hardware control system for the 7-DOF NeuroArm research platform, integrating a Nano Pi single-board computer with standard PLCs to enable real-time sensor fusion and control. This hardware-focused contribution, with 2 citations, underscores his ability to bridge theoretical control algorithms with practical, embedded systems. Dragovic’s research is notable for its dual emphasis on algorithmic innovation and hardware implementation, positioning him as a versatile contributor to the fields of robotic arm control, intelligent automation, and cyber-physical system design.