Matteo Manzardo
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
Top Papers
- 1
- 2
- 3Design of a Path Planning Method for a Robotized Optimal Trimming2 citations · 2022
- 4