145 citations · 814 across the 26 of their papers we have counts for
9 papers · 1 filter
Space Objects Maneuvering Prediction via Maximum Causal Entropy Inverse Reinforcement Learning
Bryce Doerr, Richard Linares, Roberto Furfaro
Inverse Reinforcement Learning (RL) can be used to determine the behavior of Space Objects (SOs) by estimating the reward function that an SO is using for control. The approach dis…
Six Degree-of-Freedom Body-Fixed Hovering over Unmapped Asteroids via LIDAR Altimetry and Reinforcement Meta-Learning
Brian Gaudet, Richard Linares, Roberto Furfaro
We optimize a six degrees of freedom hovering policy using reinforcement meta-learning. The policy maps flash LIDAR measurements directly to on/off spacecraft body-frame thrust com…
Seeker based Adaptive Guidance via Reinforcement Meta-Learning Applied to Asteroid Close Proximity Operations
Brian Gaudet, Richard Linares, Roberto Furfaro
Current practice for asteroid close proximity maneuvers requires extremely accurate characterization of the environmental dynamics and precise spacecraft positioning prior to the m…
Reinforcement Learning for Angle-Only Intercept Guidance of Maneuvering Targets
Brian Gaudet, Roberto Furfaro, Richard Linares
We present a novel guidance law that uses observations consisting solely of seeker line of sight angle measurements and their rate of change. The policy is optimized using reinforc…
Adaptive Guidance and Integrated Navigation with Reinforcement Meta-Learning
Brian Gaudet, Richard Linares, Roberto Furfaro
This paper proposes a novel adaptive guidance system developed using reinforcement meta-learning with a recurrent policy and value function approximator. The use of recurrent netwo…
Realistic On-The-Fly Outcomes of Planetary Collisions: Machine Learning Applied to Simulations of Giant Impacts
Saverio Cambioni, Erik Asphaug, Alexandre Emsenhuber +3
Planet formation simulations are capable of directly integrating the evolution of hundreds to thousands of planetary embryos and planetesimals, as they accrete pairwise to become p…
Constraining the Thermal Properties of Planetary Surfaces using Machine Learning: Application to Airless Bodies
Saverio Cambioni, Marco Delbo, Andrew J. Ryan +2
We present a new method for the determination of the surface properties of airless bodies from measurements of the emitted infrared flux. Our approach uses machine learning techniq…
End to End Satellite Servicing and Space Debris Management
Aman Chandra, Himangshu Kalita, Roberto Furfaro +1
There is growing demand for satellite swarms and constellations for global positioning, remote sensing and relay communication in higher LEO orbits. This will result in many obsole…
Learning Accurate Extended-Horizon Predictions of High Dimensional Trajectories
Brian Gaudet, Richard Linares, Roberto Furfaro
We present a novel predictive model architecture based on the principles of predictive coding that enables open loop prediction of future observations over extended horizons. There…