Federica Angeletti

Sapienza University of Rome

Papers

2

Total Citations

21

H-Index

2

About

Federica Angeletti is a leading researcher in space robotics, specializing in on-orbit servicing (OOS) technologies. Her work focuses on the development of autonomous robotic systems capable of repairing, refueling, or deorbiting non-cooperative spacecraft—a critical capability for sustainable space operations. Angeletti’s major contributions include pioneering a deep learning strategy for controlling space robotic manipulators during OOS missions, enabling real-time decision-making in complex, uncooperative environments. Her 2019 paper on this topic has garnered 15 citations, establishing a foundation for AI-driven autonomy in space. She has also advanced multi-body dynamics modeling, as demonstrated in her 2021 work on dual-arm robotic systems, which integrates Kane and Newton approaches to analyze the intricate interactions between a spacecraft platform and its robotic arms. This research addresses the challenges of capturing and manipulating tumbling debris or satellites. Angeletti’s work is instrumental in transitioning OOS from concept to practical implementation, with implications for extending satellite lifetimes and reducing space debris. Her achievements highlight her as a rising authority in the intersection of robotics, AI, and space engineering, inspiring future innovations in autonomous space missions.

Research Focus

Key Achievements

2
H-Index
2
Papers
21
Total Citations
11
Avg Citations/Paper
🏆 Most Cited Paper
A Deep Learning Strategy For On-Orbit Servicing Via Space Robotic Manipulator
15 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Sapienza University of Rome

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago