Guilherme Fernandes

Institute of Physics, Universidade de São Paulo

Papers

Total Citations

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About

Guilherme Fernandes is a pioneer at the intersection of rehabilitation robotics and serious gaming, where his work transforms tedious physical therapy into engaging, adaptive experiences. His core research focuses on dynamic player modelling and multi-user robotic rehabilitation, leveraging reinforcement learning to maintain patient motivation—a concept known as "flow"—during recovery. In his most cited work (2014, 37 citations), Fernandes introduced a novel approach that dynamically adjusts game difficulty to match individual patient skills, ensuring optimal challenge and engagement. He further advanced the field by proposing architectures for simultaneous multi-player rehabilitation (2013, 34 citations), enabling competitive or cooperative therapy sessions that enhance social interaction and performance. His experimental work with two users and two robots, inspired by go-kart racing (2012, 10 citations), demonstrated a relative performance metric that quantifies rehabilitation progress in real-time. Fernandes’ contributions are foundational to the design of patient-centered, motivating robotic systems, bridging engineering and healthcare to improve outcomes for individuals with motor impairments. His research continues to inspire the development of smarter, more human-centric rehabilitation technologies.