Massimiliano Pirani
Papers
9
Total Citations
88
H-Index
5
About
Massimiliano Pirani’s research lies at the intersection of production efficiency, robotics, and cyber-physical systems, with a focus on enabling the factories of the future. His most influential work introduces a scalable production efficiency tool and a recursive bottleneck detection algorithm designed for lightweight embedded systems in the “fractal factory” robotic cloud—a contribution that has earned 23 citations. Pirani also proposed a conceptual framework for integrating production performance indicators with robotic capabilities, simplifying performance improvement in Industry 4.0 contexts. A key theoretical contribution is his novel perspective on self-similarities and holonic overlays in cyber-physical systems of systems, which models emergent behaviors through dynamically self-adapting holarchies. Beyond these core areas, he has developed embedded solutions for underactuated, self-balancing robots and low-level motor control for robotic legs, demonstrating a hands-on engineering approach. His work on the synthesis of Holonic Management Trees further advances complexity management in cyber-physical systems. With multiple papers published between 2015 and 2021, Pirani’s research bridges theoretical modeling and practical embedded systems, making significant strides toward more efficient, autonomous, and adaptive manufacturing environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Robotics 4.0: Performance improvement made easy23 citations · 2017
- 3Holonic Overlays in Cyber-Physical System of Systems14 citations · 2018
- 4
- 5Performance Improvement in CPSs over Self-similar System Structures6 citations · 2018
- 6
- 7Embedded low level control of DC motors for actuating robotic legs2 citations · 2015
- 8Embedded system for a Ballbot robot2 citations · 2015
- 9On the Synthesis of Holonic Management Trees2 citations · 2021