Liya Thomas

Papers

Total Citations

H-Index

About

Liya Thomas is a pioneering researcher at the intersection of Human–Robot Interaction (HRI), Augmented Reality (AR), and Human–Computer Interaction (HCI), with a focus on transforming collaborative manufacturing environments. Her most-cited work, a 2024 review and framework, synthesizes how AR can bridge communication gaps between humans and robots, offering a structured approach to enhance real-time feedback, task guidance, and safety in industrial settings. This paper has already garnered 19 citations, signaling its rapid influence in shaping future smart factory designs. Thomas’s contributions extend beyond theoretical frameworks; she emphasizes practical, user-centered solutions that make robot collaboration intuitive and efficient. Her research is particularly notable for its interdisciplinary approach, merging cognitive ergonomics with advanced interface design to reduce operator cognitive load. By highlighting case studies and proposing actionable guidelines, Thomas has become a key voice in advancing Industry 5.0 paradigms. Her work not only advances academic understanding but also provides a roadmap for engineers and designers seeking to implement AR-enhanced HRI systems, making her a vital resource for students and researchers exploring the future of human-robot teamwork.