Mattia Guidolin
Papers
6
Total Citations
60
H-Index
4
About
Mattia Guidolin is a researcher whose work sits at the intersection of human-robot collaboration, ergonomics, and real-time human motion estimation — fields of growing importance as manufacturing and robotics enter the Industry 4.0 and 5.0 eras. His most cited contribution, "Ergonomic Design of Human-Robot Collaborative Workstation in the Era of Industry 5.0" (2024, 25 citations), introduced a mathematical model to streamline ergonomic design and resource allocation in collaborative workstations, backed by a rich database of real-world fatigue and postural risk measurements. Complementing this, his development of the UNIPD-BPE dataset (2022, 14 citations) provided synchronized RGB-D and inertial data to advance markerless body pose estimation, while Hi-ROS (2023, 10 citations) delivered an open-source multi-camera framework for accurate, real-time people tracking. His practical engineering contributions include an efficient ROS driver for Xsens wireless inertial measurement units (2021, 7 citations), reflecting a commitment to accessible, open-source tools. More recent work explores multimodal musculoskeletal modeling for occluded environments and trust-building frameworks for human-robot collaboration. Collectively, Guidolin's research advances safe, ergonomic, and intelligent human-robot interaction in real-world industrial settings.
Research Focus
Key Achievements
Top Papers
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- 3Hi-ROS: Open-source multi-camera sensor fusion for real-time people tracking10 citations · 2023
- 4A ROS Driver for Xsens Wireless Inertial Measurement Unit Systems7 citations · 2021
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