Giulia Michieletto
Papers
7
Total Citations
80
H-Index
4
About
Giulia Michieletto is a leading researcher at the intersection of multi-robot systems, aerial robotics, and physical human-robot interaction. Her work fundamentally advances how teams of robots—from UAV swarms to mobile manipulators—coordinate and interact safely with humans and their environment. A cornerstone of her research is the application of bearing rigidity theory to control formations in three-dimensional space, a contribution detailed in her most-cited paper (2016, 45 citations) that provides a geometric framework for multi-agent coordination. Michieletto has also made pivotal strides in safe physical interaction, developing novel impedance control schemes for series elastic actuators that achieve high stiffness while maintaining safety through collocated position feedback (2023, 13 citations). Her work extends to cooperative transportation, where she employs Model Predictive Control for multi-robot trajectory planning (2021, 7 citations), and to the robust control of aerial vehicles, including force-moment decoupling for fault-tolerant multi-rotors (2019, 5 citations). By addressing critical challenges in robot formation control, actuator safety, and cooperative manipulation, Michieletto’s research is shaping the next generation of autonomous systems capable of working alongside humans in complex, dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1Bearing rigidity theory in SE(3)45 citations · 2016
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