Margherita Piccinin
Papers
2
Total Citations
3
H-Index
1
About
Margherita Piccinin is a researcher at Politecnico di Milano’s ASTRA team, specializing in vision-based navigation and LiDAR-based pose estimation for space applications. Her work focuses on two critical areas: autonomous lunar landing and non-cooperative spacecraft operations. In her 2020 study, she experimentally validated a synthetic training set for deep learning vision systems designed to solve pinpoint landing on the Moon’s South Pole, demonstrating how AI can guide spacecraft from 100 km altitude down to 3 km with high precision. This contribution is foundational for future lunar missions requiring autonomous hazard avoidance. More recently, her 2025 paper compares classical methods for LiDAR-based pose acquisition of non-cooperative spacecraft—a key technology for On-Orbit Servicing and Active Debris Removal. By evaluating point-correspondence techniques, she highlights the enduring relevance of classical approaches in modern space robotics. Though her citation counts are modest, her work addresses pressing challenges in space exploration, bridging AI and classical methods to enable safer, more autonomous operations in orbit and beyond.
Research Focus
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Top Papers
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