Giorgia Willits

Papers

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About

Giorgia Willits is a leading researcher in human-robot collaboration, with a focus on creating safer, more intuitive, and ergonomically optimized interactions between humans and machines. Her most influential work, "Personalized kinematics for human-robot collaborative manipulation" (2015, 34 citations), introduces a groundbreaking framework that uses motion capture data to estimate and parameterize personalized human kinematic models. This allows robots to adapt their movements to the unique physical characteristics of each individual collaborator, significantly improving comfort and reducing the risk of strain or injury during shared tasks. By shifting from one-size-fits-all robotics to truly human-centric design, Willits has laid the foundation for a new generation of collaborative robots that can work seamlessly alongside people in manufacturing, rehabilitation, and service settings. Her contributions are widely recognized for bridging biomechanics and robotics, and her work continues to inspire innovations in adaptive, ergonomic human-robot systems.