Emanuele Magrini
Papers
9
Total Citations
672
H-Index
9
About
Emanuele Magrini is a leading researcher in physical human-robot interaction (pHRI), with a focus on enabling safe, intuitive collaboration between humans and industrial robots. His work centers on control strategies for contact-rich tasks, including hybrid force/velocity control, admittance control, and model-based residual approaches that allow robots to detect and respond to human contact in real time. Magrini’s contributions are foundational to the development of collaborative robots that can work alongside humans in open industrial cells—without safety cages. His most cited paper, “Human-robot coexistence and interaction in open industrial cells” (2019), has garnered 175 citations, reflecting its impact on the field. He also pioneered the estimation of contact forces using virtual sensors (121 citations) and developed control frameworks for generalized contact motion and force exchange during physical interaction (149 citations). His work on collision detection and intentional contact distinction has been instrumental in making industrial robots safer and more responsive. Magrini’s research, published in top robotics venues, has helped bridge the gap between traditional industrial automation and truly collaborative human-robot workspaces, advancing the practical deployment of pHRI in manufacturing and beyond.
Research Focus
Key Achievements
Top Papers
- 1Human-robot coexistence and interaction in open industrial cells175 citations · 2019
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- 3Estimation of contact forces using a virtual force sensor121 citations · 2014
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- 6Hybrid force/velocity control for physical human-robot collaboration tasks31 citations · 2016
- 7Human-robot coexistence and contact handling with redundant robots24 citations · 2017
- 8Sensor-Based Task-Constrained Motion Planning using Model Predictive Control17 citations · 2018
- 9Parallel collision check for sensor based real-time motion planning15 citations · 2017