Papers
7
Total Citations
286
H-Index
6
About
Laura Romeo is a researcher whose work sits at the intersection of robotics, the Internet of Things (IoT), and human-centered computing, with a particular focus on industrial and smart environment applications. Her most-cited contribution, "Internet of Robotic Things in Smart Domains: Applications and Challenges" (2020, 154 citations), established her as a prominent voice in the Industry 4.0 discourse, exploring how IoT and robotic systems converge to reshape next-generation manufacturing. This theme extends across several of her publications, cementing a cohesive research vision around intelligent, interconnected systems. Romeo has made significant strides in human action recognition for manufacturing contexts, most notably through the HA4M dataset (2022, 62 citations), a richly annotated multi-modal resource enabling advances in worker monitoring and safety. Her work on Microsoft Azure Kinect body tracking (2021, 39 citations) further demonstrates her commitment to practical cobot safety solutions. More recently, she has expanded into precision agriculture, applying deep learning techniques for grape yield estimation (2025, 11 citations), showcasing impressive versatility. With contributions spanning autonomous IoT deployment, temporal action segmentation, and Industry 5.0 operator well-being, Romeo's research consistently bridges theoretical innovation with real-world impact, making her an important figure for students navigating robotics, AI, and smart systems research.
Research Focus
Key Achievements
Top Papers
- 1Internet of Robotic Things in Smart Domains: Applications and Challenges154 citations · 2020
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- 3Performance Analysis of Body Tracking with the Microsoft Azure Kinect39 citations · 2021
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