# Richard Linares

According to our database

Collaborative distances:

^{1}, Richard Linares authored at least 20 papers between 2010 and 2019.Collaborative distances:

## Timeline

#### Legend:

Book In proceedings Article PhD thesis Other## Links

#### On csauthors.net:

## Bibliography

2019

Scalable Gas Sensing, Mapping, and Path Planning via Decentralized Hilbert Maps.

Sensors, 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

Adaptive Guidance and Integrated Navigation with Reinforcement Meta-Learning.

CoRR, 2019

Adaptive Guidance with Reinforcement Meta-Learning.

CoRR, 2019

Learning Accurate Extended-Horizon Predictions of High Dimensional Trajectories.

CoRR, 2019

Integrated Mapping and Path Planning for Very Large-Scale Robotic (VLSR) Systems.

Proceedings of the International Conference on Robotics and Automation, 2019

Extended Target Tracking and Shape Estimation via Random Finite Sets.

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

Random Finite Set Theory and Optimal Control for Large Spacecraft Swarms.

CoRR, 2018

Data-driven framework for real-time thermospheric density estimation.

CoRR, 2018

Control of Large Swarms via Random Finite Set Theory.

CoRR, 2018

Control of Large Swarms via Random Finite Set Theory.

Proceedings of the 2018 Annual American Control Conference, 2018

2016

Space Object classification using deep Convolutional Neural Networks.

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

Robust estimator for uncertain stochastic systems.

Proceedings of the 49th IEEE Conference on Decision and Control, 2010