LG Mantovani
Papers
2
Total Citations
33
H-Index
2
About
Dr. LG Mantovani is a leading researcher in human-robot collaboration, with a focus on developing intuitive and user-centric control systems for physical interaction. Their work centers on optimizing the performance of collaborative robots—used in manufacturing, rehabilitation, and beyond—by making interactions safer, smoother, and more responsive to human needs. A major contribution is the creation of a novel optimal physical human-robot collaborative controller with user-centric tuning (2023, 18 citations), which adapts robot behavior to individual user preferences in real time. Complementing this, their 2022 study on preference-based optimization (15 citations) introduced a powerful methodology for tuning complex systems when traditional objective functions are impractical, allowing non-expert users to improve robot performance through simple feedback. With over 33 combined citations on these foundational works, Mantovani’s research is shaping the next generation of adaptive, human-aware robotics. Their innovative approach bridges control theory and user experience, making collaborative robots more accessible and effective in real-world applications.
Research Focus
Key Achievements
Top Papers
- 1
- 2Preference-Based Optimization of a Human-Robot Collaborative Controller15 citations · 2022