145 citations · 485 across the 13 of their papers we have counts for
7 papers · 1 filter
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…
Marine Mammal Species Classification using Convolutional Neural Networks and a Novel Acoustic Representation
Mark Thomas, Bruce Martin, Katie Kowarski +2
Research into automated systems for detecting and classifying marine mammals in acoustic recordings is expanding internationally due to the necessity to analyze large collections o…
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…
Adaptive Guidance with Reinforcement Meta-Learning
Brian Gaudet, Richard Linares
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…