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About

Claudia Latella is a robotics and human-robot interaction researcher whose work sits at the intersection of biomechanics, motion tracking, and collaborative robotics. Her research focuses on whole-body human dynamics estimation, inverse kinematics, and wearable sensing technologies — areas critical to advancing safe and intuitive physical human-robot interaction. Latella's most influential contribution, "Model-Based Real-Time Motion Tracking Using Dynamical Inverse Kinematics" (2020, 31 citations), introduced a robust infrastructure for solving inverse kinematics in highly articulated human systems under time-critical conditions. Complementing this, her work on the EU FP7 CoDyCo project (2017, 30 citations) advanced whole-body controllers capable of navigating complex contact dynamics between humans and robots. Her 2018 paper on probabilistic sensor fusion for real-time human dynamics estimation (15 citations) further demonstrated her commitment to bridging sensing and computational intelligence. A recurring theme throughout her portfolio is ergonomics and worker well-being — notably her 2021 work on payload estimation and articular stress assessment for real-time ergonomic monitoring. With cumulative citations exceeding 100 across her published work, Latella has established herself as a meaningful contributor to the growing field of human-aware robotics, with implications for industrial collaboration, rehabilitation, and assistive technologies.