Papers
3
Total Citations
17
H-Index
2
About
Ali Mokhtarian is a robotics researcher whose work sits at the intersection of rehabilitation engineering, soft robotics, and human-robot interaction. His primary research areas focus on developing assistive robotic systems for medical and rehabilitative applications, with particular emphasis on upper limb rehabilitation and bipedal locomotion. Mokhtarian's most significant contribution is the design and fabrication of a passive upper limb rehabilitation robot featuring an innovative adjustable automatic balance system based on variable mass of the end-effector—a novel approach that enhances patient safety and therapeutic effectiveness, earning 12 citations. He has also pioneered the integration of soft robotics with virtual reality environments, creating a dual-interaction soft robot system that demonstrates promising applications in immersive rehabilitation therapies. His earlier work includes controllability analysis of standing bipedal robots with active toe-joints, contributing to the understanding of balance maintenance in humanoid locomotion. While his citation counts reflect a developing career, Mokhtarian's research demonstrates a clear trajectory toward practical, patient-centered robotic solutions that bridge mechanical design with digital interaction technologies.
Research Focus
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Top Papers
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