Keyvan Tayaranian Marvian

Papers

Total Citations

H-Index

About

Keyvan Tayaranian Marvian is a robotics researcher whose work bridges the gap between automated systems and physical rehabilitation. His primary research areas include physiotherapy robotics, control algorithms, and human-robot interaction for medical applications. His most notable contribution is the development of a comprehensive suite of physiotherapy algorithms for the FUM-Physio robot, which enables passive motion, isotonic, isometric, isokinetic, and spring-movement exercises. These algorithms were experimentally validated, demonstrating the potential for robots to deliver precise, repeatable therapeutic movements that can enhance patient recovery outcomes. While his citation count is still growing, his 2022 paper on these algorithms has already garnered attention for its practical approach to integrating robotics into clinical settings. Marvian’s work is particularly significant for its focus on translating complex rehabilitation protocols into executable robotic routines, offering a scalable solution for physical therapy. His research stands at the intersection of engineering and healthcare, aiming to make rehabilitation more accessible and effective through automation.