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About

Giorgia Chiriatti is a leading researcher in collaborative robotics, with a focus on human–robot interaction, rehabilitation engineering, and safe automation. Her work centers on developing adaptive control strategies that enable robots to work closely with humans—whether in industrial settings or healthcare. Her most cited paper, “Adaptive Obstacle Avoidance for a Class of Collaborative Robots” (2021, 37 citations), addresses a critical safety challenge by proposing collision avoidance techniques that guarantee operator safety in shared workspaces. In rehabilitation, Chiriatti has made significant contributions through frameworks that use cobots to assist patient recovery after neurological injuries, as seen in her 2022 study on manipulability optimization (20 citations) and her 2023 work on monitoring hand muscle tone during robot-assisted therapy (11 citations). She also bridges robotics with traditional craftsmanship, exemplified by her human-centered design of a collaborative system for shoe-polishing (2022, 12 citations). Chiriatti’s research is notable for its practical, human-in-loop approach, integrating multibody models and experimental validations to advance both industrial automation and neurorehabilitation. With a growing citation impact across eight key publications, she is shaping the future of safe, flexible, and human-aware robotic systems.