Papers
13
Total Citations
470
H-Index
8
About
Roberto Marani is a prolific researcher whose work sits at the dynamic intersection of robotics, artificial intelligence, and smart sensing systems. His research spans the Internet of Robotic Things, autonomous agricultural robots, human action recognition, and human-robot collaboration — areas central to the advancement of Industry 4.0 and precision agriculture. Marani's most influential contribution, "Internet of Robotic Things in Smart Domains" (2020), has accumulated over 154 citations, establishing him as a key voice in the integration of IoT and robotic systems. His development of the HA4M dataset (62 citations) represents a landmark resource for multi-modal human action recognition in manufacturing environments, enabling safer and more intelligent collaborative workspaces. His work on terrain classification using recurrent and convolutional neural networks (56 citations) further demonstrates his expertise in deep learning applied to autonomous navigation. Beyond industrial robotics, Marani has made substantial contributions to agricultural technology, including semi-supervised deep learning for viticulture (52 citations) and autonomous fruit identification in field conditions. His research on Microsoft Azure Kinect body tracking and cobot control architectures also reflects a sustained commitment to worker safety and mental well-being in human-robot collaborative settings — making his portfolio both technically rigorous and deeply human-centered.
Research Focus
Key Achievements
Top Papers
- 1Internet of Robotic Things in Smart Domains: Applications and Challenges154 citations · 2020
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- 5An RGB-D multi-view perspective for autonomous agricultural robots39 citations · 2022
- 6Performance Analysis of Body Tracking with the Microsoft Azure Kinect39 citations · 2021
- 7In-Field Automatic Identification of Pomegranates Using a Farmer Robot24 citations · 2022
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- 10Laser Profilometry Aiding Smart Vehicle Control6 citations · 2014