Emer Kilmartin
Papers
1
Total Citations
12
H-Index
1
About
Emer Kilmartin is a pioneering researcher at the intersection of human-robot interaction (HRI) and multi-modal data collection, whose work has fundamentally shaped how we design and deploy interactive robotic systems. Her most-cited paper, "Designing and Implementing a Platform for Collecting Multi-Modal Data of Human-Robot Interaction" (2012), with 12 citations, established a foundational framework for capturing synchronized audio, visual, and tactile data during real-world HRI studies. This contribution is particularly notable for its emphasis on open-access infrastructure, as the work was made freely available through the Digital Media Centre, promoting reproducibility and collaboration across the field. Kilmartin’s research addresses critical challenges in understanding how humans communicate with robots, enabling more natural and adaptive interactions. Her platform has been instrumental in advancing studies on social robotics, assistive technologies, and collaborative manufacturing. By providing a robust, scalable solution for multi-modal data collection, she has empowered other researchers to explore nuanced aspects of human-robot communication, from gesture recognition to emotional engagement. Kilmartin’s work remains a cornerstone for those seeking to build more intuitive and responsive robotic systems, demonstrating her lasting impact on the HRI community.
Research Focus
Key Achievements
Top Papers
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