145 citations · 814 across the 26 of their papers we have counts for
11 papers · 1 filter
Integrated Guidance and Control for Lunar Landing using a Stabilized Seeker
Brian Gaudet, Roberto Furfaro
We develop an integrated guidance and control system that in conjunction with a stabilized seeker and landing site detection software can achieve precise and safe planetary landing…
Terminal Adaptive Guidance for Autonomous Hypersonic Strike Weapons via Reinforcement Learning
Brian Gaudet, Roberto Furfaro
An adaptive guidance system suitable for the terminal phase trajectory of a hypersonic strike weapon is optimized using reinforcement meta learning. The guidance system maps observ…
Integrated and Adaptive Guidance and Control for Endoatmospheric Missiles via Reinforcement Learning
Brian Gaudet, Roberto Furfaro
We apply a reinforcement meta-learning framework to optimize an integrated and adaptive guidance and flight control system for an air-to-air missile. The system is implemented as a…
Reinforcement Meta-Learning for Interception of Maneuvering Exoatmospheric Targets with Parasitic Attitude Loop
Brian Gaudet, Roberto Furfaro, Richard Linares +1
We use Reinforcement Meta-Learning to optimize an adaptive integrated guidance, navigation, and control system suitable for exoatmospheric interception of a maneuvering target. The…
Adaptive Generalized ZEM-ZEV Feedback Guidance for Planetary Landing via a Deep Reinforcement Learning Approach
Roberto Furfaro, Andrea Scorsoglio, Richard Linares +1
Precision landing on large and small planetary bodies is a technology of utmost importance for future human and robotic exploration of the solar system. In this context, the Zero-E…
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…
Deep Reinforcement Learning for Six Degree-of-Freedom Planetary Powered Descent and Landing
Brian Gaudet, Richard Linares, Roberto Furfaro
Future Mars missions will require advanced guidance, navigation, and control algorithms for the powered descent phase to target specific surface locations and achieve pinpoint accu…