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About

Sergio Lafuente-Arroyo is a researcher specializing in assistive robotics, computer vision, and human-centered autonomous systems, with a particular focus on developing intelligent solutions for vulnerable populations. His work sits at the intersection of mobile robotics, deep learning-based detection, and accessibility technology, addressing real-world challenges faced by elderly individuals and people with disabilities. Among his most significant contributions is his pioneering research on fall detection systems integrated into mobile robotic platforms. His 2019 study on fallen people detection capabilities (61 citations) established a strong foundation in this critical safety domain, while his 2022 follow-up introduced a low-cost autonomous patrol robot with facial recognition capabilities (35 citations), demonstrating both technical sophistication and practical affordability. Beyond elderly care, Lafuente-Arroyo has extended his expertise to neurodevelopmental disorders, designing an accessible robotic platform to support children with daily living activities (17 citations). His more recent work addresses the fundamental challenge of indoor localization in symmetrical environments through multisensory integration, strengthening the navigational autonomy essential to all his robotic applications. Collectively, his research reflects a sustained commitment to making assistive robotics accessible, reliable, and socially impactful.