Jon Borregan-Alvarado

Papers

Total Citations

H-Index

About

Jon Borregan-Alvarado is a forward-looking researcher at the intersection of robotics, human–machine collaboration, and Industry 4.0/5.0. His work centers on understanding and shaping the future of human–robot interaction (HRI), with a particular emphasis on using advanced computational models to anticipate research trends. In his highly cited 2024 study, Borregan-Alvarado pioneered the use of Long Short-Term Memory (LSTM) networks to predict the evolving research agenda in HRI, addressing a critical gap in the scientific literature by proposing a multilayered model that clarifies the trajectory from Industry 4.0 toward the human-centric Industry 5.0. Complementing this, his 2022 patent analysis mapped the technological profile of collaborative robots (cobots), revealing how these systems have become a cornerstone of modern industrial automation. Though early in his career, his work has already garnered attention, with each of these key papers accumulating 2 citations and establishing a foundation for future inquiry. Borregan-Alvarado’s contributions are notable for their methodological innovation and strategic foresight, offering researchers and practitioners a data-driven lens through which to navigate the rapidly shifting landscape of human–robot collaboration.