Ivan Lazzero
Papers
11
Total Citations
143
H-Index
6
About
Ivan Lazzero is a researcher specializing in industrial robotics, smart manufacturing, and human-robot collaboration, with particular expertise in collision detection, friction modeling, and the integration of intelligent systems within Industry 4.0 frameworks. His most influential work, "Smart Sensors Applications for a New Paradigm of a Production Line" (2019, 52 citations), explores how advanced sensor technologies can reshape flexible, human-robot collaborative production environments — a timely contribution as manufacturing undergoes profound digital transformation. Lazzero has made significant strides in making industrial robots safer and more autonomous. His development of a virtual collision sensor (2017, 25 citations) offers a practical, sensor-free approach to collision detection using only standard robot data, lowering implementation barriers for industry. Complementing this, his research on friction modeling and identification (2013, 23 citations) provides robust tools for improving simulation accuracy and robot control. His collaborative work through RoboLAB, a joint initiative between Politecnico di Torino and COMAU, reflects a strong commitment to bridging academia and industry. With contributions spanning real-time kinematics, robotics education, and virtual cell monitoring, Lazzero's body of work collectively advances the safety, flexibility, and intelligence of modern industrial robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Smart Sensors Applications for a New Paradigm of a Production Line52 citations · 2019
- 2Development of a Virtual Collision Sensor for Industrial Robots25 citations · 2017
- 3Friction modeling and identification for industrial manipulators23 citations · 2013
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