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About

Teresa Olivares is a researcher whose work sits at the intersection of human-robot interaction, gesture control systems, and intelligent industrial environments. Her research has made meaningful contributions to the evolving landscape of Industry 4.0, with a particular focus on developing intuitive and efficient interfaces that allow humans to communicate with robotic systems in real-world manufacturing contexts. Among her most influential contributions is a comparative study of RGB-D and IMU-based gesture recognition technologies for remanufacturing applications, which has garnered 38 citations and directly addresses sustainability challenges within the circular economy. This work highlights her ability to bridge cutting-edge sensor technologies with pressing industrial needs. Her 2020 paper on Internet of Things-enabled real-time gesture control (25 citations) further demonstrates her commitment to seamlessly integrating emerging digital infrastructures into industrial workflows. Olivares has also explored wearable gesture control interfaces and conducted usability evaluations of human-robot systems, reflecting a human-centered design sensibility that enriches her technical research. Earlier work on the EcoSense intelligent energy management system signals a longstanding interest in smart, connected environments. Across her career, Olivares has established herself as a thoughtful contributor to the fields of industrial automation, IoT, and human-machine interaction.