Ernesto Cilleruelo Carrasco

Papers

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H-Index

About

Ernesto Cilleruelo Carrasco is a leading voice in the future of industrial automation, with his research squarely focused on the convergence of human-robot interaction (HRI) and the technological evolution driving Industry 4.0 and 5.0. His work is distinguished by its forward-looking approach, employing advanced computational methods to map and predict the trajectory of this critical field. In his highly cited 2024 study, "Human–robot interaction: predicting research agenda by long short-term memory," Cilleruelo Carrasco pioneered a novel multilayered model using LSTM neural networks to forecast the next wave of HRI research topics—a crucial tool for aligning academic inquiry with industrial needs. Complementing this, his 2022 patent analysis, "Mapping Technological Profile of Collaborative Robots by Patent Analysis," provides a foundational, data-driven map of the technological landscape for cobots, revealing the key innovations that have propelled their rise since the dawn of Industry 4.0. By bridging predictive analytics with rigorous patent landscape mapping, Cilleruelo Carrasco is not just documenting the present but actively shaping the research agenda for a future where humans and robots work seamlessly together.