M. Comola

Papers

Total Citations

H-Index

About

M. Comola’s research bridges the critical gap between robotic rehabilitation technologies and the underlying sensorimotor control processes that drive patient recovery. Her work centers on the development and validation of robot-assisted assessment tools, with a particular focus on translating quantitative exercise metrics into meaningful clinical insights. Her most cited paper, "Robot-assisted assessment of sensorimotor control: A case study" (2009, 4 citations), exemplifies this approach by demonstrating how robotic platforms can objectively evaluate motor control deficits, moving beyond traditional subjective scoring. This contribution addresses a key barrier to the clinical adoption of rehabilitation robots—the difficulty in linking exercise performance to specific neural control mechanisms. While her citation count reflects a focused, early-stage impact, Comola’s work is notable for its foundational role in advancing personalized, data-driven rehabilitation strategies. Her research continues to inform the design of more intuitive robotic interfaces, ultimately aiming to make robot-assisted therapy more accessible and effective in routine clinical practice.