Caio B. Moretti
Universidade de São Paulo, Massachusetts Institute of Technology
Papers
5
Total Citations
32
H-Index
5
About
Caio B. Moretti is a researcher at the intersection of rehabilitation robotics, human-robot interaction, and motor recovery, with a focus on advancing stroke rehabilitation through objective measurement and data-driven methods. His major contributions include developing robotic kinematic measures that strongly correlate with clinical outcome measures in chronic stroke survivors, as demonstrated in his highly cited 2021 work (9 citations). This research, conducted in two parts, showed that robotic metrics can provide more sensitive and objective assessments of motor recovery, particularly when evaluating the efficacy of interventions like transcranial direct current stimulation combined with intensive training. Moretti also pioneered the application of Knowledge Discovery techniques to rehabilitation robotics training data, exploring how performance metrics such as position, velocity, and force can optimize therapy outcomes. His work on a kinematic and kinetic data analysis framework for human-robot interaction (2020, 5 citations) provides a standardized approach for processing complex movement data. Additionally, his research on adjustable interaction control using genetic algorithms (2017, 5 citations) advances robotic contact applications by optimizing impedance control parameters for enhanced dynamic coupling. Moretti’s work bridges engineering and clinical rehabilitation, offering tools for more precise, personalized stroke therapy.
Research Focus
Key Achievements
Top Papers
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- 3Human-Robot Interaction: Kinematic and Kinetic Data Analysis Framework5 citations · 2020
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