Richard Linares

According to our database, Richard Linares authored at least 48 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

The ReSWARM microgravity flight experiments: Planning, control, and model estimation for on-orbit close proximity operations.

Bryce Doerr, Keenan Albee, Monica Ekal, Rodrigo M. M. Ventura, Richard Linares

J. Field Robotics, September, 2024

DreamSat: Towards a General 3D Model for Novel View Synthesis of Space Objects.

Nidhi Mathihalli, Audrey Wei, Giovanni Lavezzi, Peng Mun Siew, Víctor Rodríguez-Fernández, Hodei Urrutxua, Richard Linares

CoRR, 2024

Compositional Diffusion Models for Powered Descent Trajectory Generation with Flexible Constraints.

Julia Briden, Yilun Du, Enrico M. Zucchelli, Richard Linares

CoRR, 2024

Fine-tuning LLMs for Autonomous Spacecraft Control: A Case Study Using Kerbal Space Program.

Alejandro Carrasco, Víctor Rodríguez-Fernández, Richard Linares

CoRR, 2024

Uncertainty Propagation and Filtering via the Koopman Operator in Astrodynamics.

Simone Servadio, William Parker, Richard Linares

CoRR, 2024

Enhancing Solar Driver Forecasting with Multivariate Transformers.

Sergio Sanchez-Hurtado, Víctor Rodríguez-Fernández, Julia Briden, Peng Mun Siew, Richard Linares

CoRR, 2024

Language Models are Spacecraft Operators.

Víctor Rodríguez-Fernández, Alejandro Carrasco, Jason Cheng, Eli Scharf, Peng Mun Siew, Richard Linares

CoRR, 2024

Towards a Machine Learning-Based Approach to Predict Space Object Density Distributions.

Víctor Rodríguez-Fernández, Sumiyajav Sarangerel, Peng Mun Siew, Pablo Machuca, Daniel Jang, Richard Linares

CoRR, 2024

Propagation of Uncertainty with the Koopman Operator.

Simone Servadio, Giovanni Lavezzi, Christian Hofmann, Di Wu, Richard Linares

Proceedings of the 27th International Conference on Information Fusion, 2024

2023

Constraint-Informed Learning for Warm Starting Trajectory Optimization.

Julia Briden, Changrak Choi, Kyongsik Yun, Richard Linares, Abhishek Cauligi

CoRR, 2023

Improving Computational Efficiency for Powered Descent Guidance via Transformer-based Tight Constraint Prediction.

Julia Briden, Trey Gurga, Breanna Johnson, Abhishek Cauligi, Richard Linares

CoRR, 2023

Transformer-based Atmospheric Density Forecasting.

Julia Briden, Peng Mun Siew, Víctor Rodríguez-Fernández, Richard Linares

CoRR, 2023

2022

Optimal Tasking of Ground-Based Sensors for Space Situational Awareness Using Deep Reinforcement Learning.

Peng Mun Siew, Richard Linares

Sensors, 2022

The RATTLE Motion Planning Algorithm for Robust Online Parametric Model Improvement With On-Orbit Validation.

Keenan Albee, Monica Ekal, Brian Coltin, Rodrigo Ventura, Richard Linares, David W. Miller

IEEE Robotics Autom. Lett., 2022

A Lambert's Problem Solution via the Koopman Operator with Orthogonal Polynomials.

Julia Pasiecznik, Simone Servadio, Richard Linares

CoRR, 2022

2021

Autonomous Six-Degree-of-Freedom Spacecraft Docking with Rotating Targets via Reinforcement Learning.

Charles E. Oestreich, Richard Linares, Ravi Gondhalekar

J. Aerosp. Inf. Syst., July, 2021

Guest Editorial Special Issue on Control of Very-Large-Scale Robotic (VLSR) Networks.

Silvia Ferrari, Thomas A. Wettergren, Richard Linares, Keith A. LeGrand

IEEE Trans. Control. Netw. Syst., 2021

Decentralized Control of Large Collaborative Swarms Using Random Finite Set Theory.

Bryce Doerr, Richard Linares

IEEE Trans. Control. Netw. Syst., 2021

A Robust Observation, Planning, and Control Pipeline for Autonomous Rendezvous with Tumbling Targets.

Keenan Albee, Charles E. Oestreich, Caroline Specht, Antonio Terán Espinoza, Jessica Todd, Ian Hokaj, Roberto Lampariello, Richard Linares

Frontiers Robotics AI, 2021

A Koopman Operator Tutorial with Othogonal Polynomials.

Simone Servadio, David Arnas, Richard Linares

CoRR, 2021

Safe and Uncertainty-Aware Robotic Motion Planning Techniques for Agile On-Orbit Assembly.

Bryce Doerr, Keenan Albee, Monica Ekal, Richard Linares, Rodrigo M. M. Ventura

CoRR, 2021

Online Information-Aware Motion Planning with Inertial Parameter Learning for Robotic Free-Flyers.

Monica Ekal, Keenan Albee, Brian Coltin, Rodrigo M. M. Ventura, Richard Linares, David W. Miller

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.

Charles E. Oestreich, Antonio Terán Espinoza, Jessica Todd, Keenan Albee, Richard Linares

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.

Charles E. Oestreich, Richard Linares, Ravi Gondhalekar

CoRR, 2020

Motion Planning and Control for On-Orbit Assembly using LQR-RRT* and Nonlinear MPC.

Bryce Doerr, Richard Linares

CoRR, 2020

Reinforcement Meta-Learning for Interception of Maneuvering Exoatmospheric Targets with Parasitic Attitude Loop.

Brian Gaudet, Roberto Furfaro, Richard Linares, Andrea Scorsoglio

CoRR, 2020

Adaptive Generalized ZEM-ZEV Feedback Guidance for Planetary Landing via a Deep Reinforcement Learning Approach.

Roberto Furfaro, Andrea Scorsoglio, Richard Linares, Mauro Massari

CoRR, 2020

Machine Learning Algorithms for Improved Thermospheric Density Modeling.

Herbert Turner, Maggie Zhang, David Gondelach, Richard Linares

Proceedings of the Dynamic Data Driven Applications Systems, 2020

2019

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

Pingping Zhu, Silvia Ferrari, Julian Morelli, Richard Linares, Bryce Doerr

Sensors, 2019

Six Degree-of-Freedom Hovering using LIDAR Altimetry via Reinforcement Meta-Learning.

Brian Gaudet, Richard Linares, Roberto Furfaro

CoRR, 2019

Space Objects Maneuvering Prediction via Maximum Causal Entropy Inverse Reinforcement Learning.

Bryce Doerr, Richard Linares, Roberto Furfaro

CoRR, 2019

Seeker based Adaptive Guidance via Reinforcement Meta-Learning Applied to Asteroid Close Proximity Operations.

Brian Gaudet, Richard Linares, Roberto Furfaro

CoRR, 2019

Combining Parameter Identification and Trajectory Optimization: Real-time Planning for Information Gain.

Keenan Albee, Monica Ekal, Rodrigo Ventura, Richard Linares

CoRR, 2019

A Guidance Law for Terminal Phase Exo-Atmospheric Interception Against a Maneuvering Target using Angle-Only Measurements Optimized using Reinforcement Meta-Learning.

Brian Gaudet, Roberto Furfaro, Richard Linares

CoRR, 2019

Adaptive Guidance and Integrated Navigation with Reinforcement Meta-Learning.

Brian Gaudet, Richard Linares, Roberto Furfaro

CoRR, 2019

Adaptive Guidance with Reinforcement Meta-Learning.

Brian Gaudet, Richard Linares

CoRR, 2019

Learning Accurate Extended-Horizon Predictions of High Dimensional Trajectories.

Brian Gaudet, Richard Linares, Roberto Furfaro

CoRR, 2019

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

Julian Morelli, Pingping Zhu, Bryce Doerr, Richard Linares, Silvia Ferrari

Proceedings of the International Conference on Robotics and Automation, 2019

Extended Target Tracking and Shape Estimation via Random Finite Sets.

Peng Mun Siew, Richard Linares, Vibhor L. Bageshwar

Proceedings of the 2019 American Control Conference, 2019

2018

Dynamic Data-Driven Uncertainty Quantification via Polynomial Chaos for Space Situational Awareness.

Richard Linares, Vivek Vittaldev, Humberto C. Godinez

Proceedings of the Handbook of Dynamic Data Driven Applications Systems., 2018

Deep Reinforcement Learning for Six Degree-of-Freedom Planetary Powered Descent and Landing.

Brian Gaudet, Richard Linares, Roberto Furfaro

CoRR, 2018

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

Bryce Doerr, Richard Linares, Pingping Zhu, Silvia Ferrari

CoRR, 2018

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

Piyush M. Mehta, Richard Linares

CoRR, 2018

Control of Large Swarms via Random Finite Set Theory.

Bryce Doerr, Richard Linares

Proceedings of the 2018 Annual American Control Conference, 2018

2016

Space Object classification using deep Convolutional Neural Networks.

Richard Linares, Roberto Furfaro

Proceedings of the 19th International Conference on Information Fusion, 2016

2014

Space object classification and characterization via Multiple Model Adaptive Estimation.

Richard Linares, John L. Crassidis, Moriba K. Jah

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.

Charles J. Wetterer, C. Channing Chow, John L. Crassidis, Richard Linares, Moriba K. Jah

Proceedings of the 16th International Conference on Information Fusion, 2013

2010

Robust estimator for uncertain stochastic systems.

Jemin George, Richard Linares

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