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About

Celia Garrido-Hidalgo is a researcher whose work sits at the intersection of human-robot interaction, wearable technology, and Industry 4.0, with a particular focus on gesture-based control systems for industrial environments. Her research addresses a pressing challenge in modern manufacturing: enabling intuitive, efficient communication between human workers and robotic systems as factories undergo rapid digital transformation. Garrido-Hidalgo's most influential contribution, cited 38 times, rigorously compares RGB-D and IMU-based gesture recognition technologies within the context of remanufacturing — a critical component of the circular economy. By evaluating these competing sensing modalities, her work provides actionable guidance for deploying effective human-robot collaboration in complex industrial settings where resource efficiency is paramount. Her 2020 paper (25 citations) further demonstrates how Internet of Things infrastructure can underpin real-time gesture control systems, directly advancing the Industry 4.0 vision of smarter, more flexible production. Earlier foundational work on gesture control wearables and usability testing reflects her commitment to not only developing these systems but validating their practical adoption by real users. Together, her publications form a coherent research trajectory that meaningfully advances how humans and machines collaborate in the factories of tomorrow.