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About

Carolina Ledebour is a robotics researcher whose work bridges the critical gap between industrial automation and human safety. Her primary research areas include human-robot interaction, collision detection, and autonomous maintenance systems for industrial environments. Ledebour’s most significant contribution is the development of HOSA, an end-to-end safety system for human-robot interaction, which has garnered 10 citations since 2022 and represents a comprehensive approach to ensuring safe collaboration between humans and machines. She has also made notable advances in deep learning models for collision detection in industrial settings, with her 2020 study earning 6 citations for its practical assessment of neural network applications in real-world manufacturing. Beyond safety, Ledebour has contributed to the design of specialized grippers and the development of RBOT, a robot-driven maintenance system for radio base stations—work that has received 8 combined citations and demonstrates her ability to solve concrete industrial challenges. Her research is particularly valuable for its focus on end-to-end system integration, moving beyond theoretical models to create deployable solutions that enhance both productivity and worker safety in automated environments.