Richard Linares
According to our database1,
Richard Linares
authored at least 41 papers
between 2010 and 2024.
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Bibliography
2024
Towards a Machine Learning-Based Approach to Predict Space Object Density Distributions.
CoRR, 2024
2023
Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint Prediction.
CoRR, 2023
The ReSWARM Microgravity Flight Experiments: Planning, Control, and Model Estimation for On-Orbit Close Proximity Operations.
CoRR, 2023
2022
Optimal Tasking of Ground-Based Sensors for Space Situational Awareness Using Deep Reinforcement Learning.
Sensors, 2022
The RATTLE Motion Planning Algorithm for Robust Online Parametric Model Improvement With On-Orbit Validation.
IEEE Robotics Autom. Lett., 2022
CoRR, 2022
2021
Autonomous Six-Degree-of-Freedom Spacecraft Docking with Rotating Targets via Reinforcement Learning.
J. Aerosp. Inf. Syst., July, 2021
Guest Editorial Special Issue on Control of Very-Large-Scale Robotic (VLSR) Networks.
IEEE Trans. Control. Netw. Syst., 2021
IEEE Trans. Control. Netw. Syst., 2021
A Robust Observation, Planning, and Control Pipeline for Autonomous Rendezvous with Tumbling Targets.
Frontiers Robotics AI, 2021
Safe and Uncertainty-Aware Robotic Motion Planning Techniques for Agile On-Orbit Assembly.
CoRR, 2021
Online Information-Aware Motion Planning with Inertial Parameter Learning for Robotic Free-Flyers.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021
On-Orbit Inspection of an Unknown, Tumbling Target Using NASA's Astrobee Robotic Free-Flyers.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021
2020
Autonomous Six-Degree-of-Freedom Spacecraft Docking Maneuvers via Reinforcement Learning.
CoRR, 2020
CoRR, 2020
Reinforcement Meta-Learning for Interception of Maneuvering Exoatmospheric Targets with Parasitic Attitude Loop.
CoRR, 2020
Adaptive Generalized ZEM-ZEV Feedback Guidance for Planetary Landing via a Deep Reinforcement Learning Approach.
CoRR, 2020
Proceedings of the Dynamic Data Driven Applications Systems, 2020
2019
Sensors, 2019
Six Degree-of-Freedom Hovering using LIDAR Altimetry via Reinforcement Meta-Learning.
CoRR, 2019
Space Objects Maneuvering Prediction via Maximum Causal Entropy Inverse Reinforcement Learning.
CoRR, 2019
Seeker based Adaptive Guidance via Reinforcement Meta-Learning Applied to Asteroid Close Proximity Operations.
CoRR, 2019
Combining Parameter Identification and Trajectory Optimization: Real-time Planning for Information Gain.
CoRR, 2019
A Guidance Law for Terminal Phase Exo-Atmospheric Interception Against a Maneuvering Target using Angle-Only Measurements Optimized using Reinforcement Meta-Learning.
CoRR, 2019
CoRR, 2019
CoRR, 2019
Proceedings of the International Conference on Robotics and Automation, 2019
Proceedings of the 2019 American Control Conference, 2019
2018
Dynamic Data-Driven Uncertainty Quantification via Polynomial Chaos for Space Situational Awareness.
Proceedings of the Handbook of Dynamic Data Driven Applications Systems., 2018
Deep Reinforcement Learning for Six Degree-of-Freedom Planetary Powered Descent and Landing.
CoRR, 2018
Proceedings of the 2018 Annual American Control Conference, 2018
2016
Proceedings of the 19th International Conference on Information Fusion, 2016
2014
Space object classification and characterization via Multiple Model Adaptive Estimation.
Proceedings of the 17th International Conference on Information Fusion, 2014
2013
Simultaneous position, velocity, attitude, angular rates, and surface parameter estimation using astrometric and photometric observations.
Proceedings of the 16th International Conference on Information Fusion, 2013
2010
Proceedings of the 49th IEEE Conference on Decision and Control, 2010