Valerio Cornagliotto

Papers

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About

Valerio Cornagliotto is a researcher at the intersection of human motion analysis and collaborative robotics, with a primary focus on enhancing human-robot interaction in industrial settings. His work centers on the fusion of spatial and inertial data to model and predict human upper limb movements, a critical component for safe and efficient human-robot collaboration in Industry 4.0 environments. His most-cited paper, "Collection and Analysis of Human Upper Limbs Motion Features for Collaborative Robotic Applications" (2020), has garnered 22 citations and establishes foundational methods for extracting motion features from typical industrial pick-and-place tasks. In a complementary study, "Using a Robot Calibration Approach Toward Fitting a Human Arm Model" (2021), Cornagliotto innovatively adapts robot calibration techniques to create accurate kinematic models of the human arm, bridging the gap between robotic precision and human biomechanics. This cross-disciplinary approach underscores his contribution to developing intuitive, adaptive robotic systems that can anticipate and respond to human actions. With a growing citation record, Cornagliotto’s work is shaping the future of collaborative robotics, offering practical pathways toward safer, more efficient human-robot teamwork in manufacturing.