Papers
9
Total Citations
183
H-Index
7
About
Matteo Giussani is a leading researcher in human-robot collaboration, with a primary focus on developing safe, flexible, and reconfigurable robotic systems for manufacturing. His work centers on two key areas: ensuring worker safety in collaborative workspaces and advancing sensor-less localization technologies. Giussani’s most impactful contribution is his pioneering approach to device-free human sensing, which uses radio-frequency signals to monitor operator movements without wearable sensors—a concept demonstrated in his highly cited 2015 case study (56 citations). He has also defined trajectory-dependent safe distances for human-robot interaction (38 citations), providing critical guidelines for dynamic safety in cluttered industrial environments. His PIROS system (29 citations) exemplifies his work on cooperative, reconfigurable robotic companions for tasks like CNC pallet loading. Beyond manufacturing, Giussani has contributed to multi-robot surgical platforms, achieving sub-millimeter accuracy for neurosurgery through advanced calibration and error compensation. With over 180 total citations, his research bridges theoretical safety standards with practical, sensor-less solutions, making him a key figure in the evolution of safe, adaptive human-robot workspaces.
Research Focus
Key Achievements
Top Papers
- 1
- 2Trajectory-dependent safe distances in human-robot interaction38 citations · 2014
- 3
- 4Robotic cell work-flow management through an IEC 61499-ROS architecture19 citations · 2016
- 5Safe human-robot cooperation through sensor-less radio localization16 citations · 2014
- 6
- 7Systemic Approach for the Definition of a Safer Human-Robot Interaction7 citations · 2019
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- 9