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About

Grigor Kerdanyan is a leading researcher in rehabilitation robotics, with a focus on restoring mobility after spinal cord injury (SCI). His work centers on two key areas: developing robotic devices that enable natural gait movements and creating optimal training algorithms for locomotor recovery. Kerdanyan’s most impactful contribution is his 2006 review on tools for understanding and optimizing robotic gait training, which has garnered 147 citations. In this work, he introduced a small-scale robotic device and analytical methods to improve locomotor training protocols. His 2004 paper (56 citations) advanced the design of five-degree-of-freedom robotic systems that allow for more natural walking patterns and precise force control. A particularly innovative aspect of his research is the quantification of human therapists’ manual assistance during gait training, detailed in his 2005 paper (40 citations). By measuring the skill of human trainers, Kerdanyan aims to translate this expertise into robot control algorithms, bridging the gap between clinical practice and automated rehabilitation. His work is foundational for creating robotic trainers that can adapt to individual patient needs, making him a key figure in the evolution of post-SCI rehabilitation technology.