Scholar
Andrea Scorsoglio
Google Scholar ID: wZT8VBwAAAAJ
Postdoctoral Research Associate, University of Arizona
reinforcement learning
guidance navigation and control
orbital mechanics
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Citations & Impact
All-time
Citations
757
H-index
15
i10-index
18
Publications
20
Co-authors
7
list available
Contact
Email
andrea.scorsoglio@gmail.com
GitHub
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Publications
1 items
Action Chunking with Transformers for Image-Based Spacecraft Guidance and Control
2025
Cited
0
Resume (English only)
Academic Achievements
Orbit determination via physics informed neural networks
VisualEnv: visual Gym environments with Blender
Orbit determination via physics informed neural networks in cislunar environment
Image-Based Deep Reinforcement Meta-Learning for Autonomous Lunar Landing
Safe Lunar landing via images: A Reinforcement Meta-Learning application to autonomous hazard avoidance and landing
Adaptive generalized ZEM-ZEV feedback guidance for planetary landing via a deep reinforcement learning approach
Image-based deep reinforcement learning for autonomous lunar landing
ELM-based Actor-Critic Approach to Lyapunov Vector Fields Relative Motion Guidance in Near-Rectilinear Orbit
Actor-critic reinforcement learning approach to relative motion guidance in near-rectilinear orbit
Research Experience
Current research is focused on reinforcement learning applications to spacecraft guidance navigation and control and vision-based simulation.
Background
Aerospace Systems Engineer, focusing on space applications of reinforcement learning, simulation, and computer vision.
Co-authors
7 total
Roberto Furfaro
Professor of systems and industrial engineering, aerospace and mechanical engineering
Luca Ghilardi
PhD Student, Department of System & Industrial Engineering, University of Arizona
Richard Linares
Associate Professor, Dept. of Aeronautics & Astronautics, MIT
Co-author 4
Co-author 5
Co-author 6
Co-author 7
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