Matteo Manzardo

Free University of Bozen-Bolzano

Papers

4

Total Citations

9

H-Index

2

About

Matteo Manzardo is a leading researcher in industrial human-robot collaboration, focusing on the critical intersection of safety, productivity, and operational fluency. His primary contributions lie in developing novel, generalized frameworks that combine the two core collaborative modalities defined by the ISO/TS 15066 standard: Power and Force Limiting (PFL) and Speed and Separation Monitoring (SSM). Manzardo’s most cited works, including a 2025 paper with 4 citations, propose innovative strategies to integrate these safety criteria, moving beyond their traditional standalone use to enable more effective and dynamic human-robot teams. He has further advanced the field by introducing the concept of "escape trajectories" within these combined frameworks, ensuring that robots can safely and efficiently disengage from a workspace when necessary. Beyond collaborative safety, Manzardo has also made notable contributions to agricultural robotics, designing optimal path planning methods for robotized bush trimming. His work on a non-omnidirectional end-effector for this application addresses the challenge of achieving high-quality, consistent trimming in variable outdoor conditions, a task traditionally reliant on skilled human operators.

Research Focus

Key Achievements

2
H-Index
4
Papers
9
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
On the improvement of the combination of Power and Force Limiting and Speed and Separation Monitoring for an effective Human Robot Collaboration
4 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Free University of Bozen-Bolzano

Top Papers

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  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago