A. Mirzaie Saba

University of New Mexico, Tarbiat Modares University

Papers

Total Citations

H-Index

About

A. Mirzaie Saba is a pioneering researcher in the fields of multiagent robotics, stochastic learning control, and rehabilitation robotics. His foundational work introduced stochastic learning automata (SLA) to multiagent systems, enabling autonomous agents to adapt and coordinate through simulation-based learning controllers—a contribution that has garnered 25 citations and established a virtual laboratory framework for intelligent robotics. In the domain of medical robotics, Saba has made significant strides in designing assistive technologies for neurological rehabilitation. He developed a novel robotic orthosis for gait rehabilitation, specifically tailored for treadmill training in patients with spinal cord injuries, prioritizing low inertia and patient safety. Complementing this, he engineered a rotary elastic actuator for use as a torque-actuator in rehabilitation robots, advancing the precision and safety of human-robot interaction. Though his citation counts reflect the specialized nature of his work, his contributions are critical to the evolution of adaptive robotic systems and therapeutic devices. Saba’s research bridges the gap between autonomous learning algorithms and practical rehabilitation engineering, offering impactful solutions for both artificial intelligence and clinical recovery.