Thales B. Pasqual

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About

Thales B. Pasqual is a researcher whose work bridges the critical intersection of robotics, serious gaming, and automation. His primary research areas include rehabilitation robotics, human-computer interaction, and intelligent logistics systems. Pasqual’s most significant contributions lie in developing dynamic difficulty adjustment systems for serious games used in rehabilitation. His highly cited 2016 paper, "Dynamic difficulty adjustment with Evolutionary Algorithm in games for rehabilitation robotics" (37 citations), proposes a novel system that adapts game challenges in real-time based on user performance, specifically for rehabilitation robotics applications. This work is complemented by his research on user experience in serious games for ankle rehabilitation (15 citations), where he adapted commercial game aesthetics for therapeutic use with devices like the AnkleBot. Beyond healthcare, Pasqual has also contributed to industrial automation with his 2023 work on "Automatic Routing Systems for Intelligent Warehouses" (13 citations), addressing the optimization of logistics through robotics. His notable achievements include pioneering the development of a robotic telerehabilitation game system for multiplayer activities, expanding the social and motivational aspects of physical therapy. With a research portfolio that seamlessly integrates adaptive algorithms, user-centered design, and practical robotics, Pasqual’s work has laid important groundwork for more engaging and effective rehabilitation technologies.