Andrea Scorsoglio
Scholar

Andrea Scorsoglio

Google Scholar ID: wZT8VBwAAAAJ
Postdoctoral Research Associate, University of Arizona
reinforcement learningguidance navigation and controlorbital mechanics
Citations & Impact
All-time
Citations
757
 
H-index
15
 
i10-index
18
 
Publications
20
 
Co-authors
7
list available
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.