Robust estimator for uncertain stochastic systems. - Jemin George; Richard Linares (CDC, 2010)

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 (FUSION, 2013)

Space object classification and characterization via Multiple Model Adaptive Estimation. - Richard Linares; John L. Crassidis; Moriba K. Jah (FUSION, 2014)

Space Object classification using deep Convolutional Neural Networks. - Richard Linares; Roberto Furfaro (FUSION, 2016)

Control of Large Swarms via Random Finite Set Theory. - Bryce Doerr; Richard Linares (ACC, 2018)

Data-driven framework for real-time thermospheric density estimation. - Piyush M. Mehta; Richard Linares (CoRR, 2018)

Random Finite Set Theory and Optimal Control for Large Spacecraft Swarms. - Bryce Doerr; Richard Linares; Pingping Zhu; Silvia Ferrari (CoRR, 2018)

Deep Reinforcement Learning for Six Degree-of-Freedom Planetary Powered Descent and Landing. - Brian Gaudet; Richard Linares; Roberto Furfaro (CoRR, 2018)

Dynamic Data-Driven Uncertainty Quantification via Polynomial Chaos for Space Situational Awareness. - Richard Linares; Vivek Vittaldev; Humberto C. Godinez (Handbook of Dynamic Data Driven Applications Systems, 2018)

Extended Target Tracking and Shape Estimation via Random Finite Sets. - Peng Mun Siew; Richard Linares; Vibhor L. Bageshwar (ACC, 2019)

Integrated Mapping and Path Planning for Very Large-Scale Robotic (VLSR) Systems. - Julian Morelli; Pingping Zhu; Bryce Doerr; Richard Linares; Silvia Ferrari (ICRA, 2019)

Learning Accurate Extended-Horizon Predictions of High Dimensional Trajectories. - Brian Gaudet; Richard Linares; Roberto Furfaro (CoRR, 2019)

Adaptive Guidance with Reinforcement Meta-Learning. - Brian Gaudet; Richard Linares (CoRR, 2019)

Adaptive Guidance and Integrated Navigation with Reinforcement Meta-Learning. - Brian Gaudet; Richard Linares; Roberto Furfaro (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)

Combining Parameter Identification and Trajectory Optimization: Real-time Planning for Information Gain. - Keenan Albee; Monica Ekal; Rodrigo Ventura 001; Richard Linares (CoRR, 2019)

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

Six Degree-of-Freedom Hovering using LIDAR Altimetry via Reinforcement Meta-Learning. - Brian Gaudet; Richard Linares; Roberto Furfaro (CoRR, 2019)

Scalable Gas Sensing, Mapping, and Path Planning via Decentralized Hilbert Maps. - Pingping Zhu; Silvia Ferrari; Julian Morelli; Richard Linares; Bryce Doerr (Sensors, 2019)

Machine Learning Algorithms for Improved Thermospheric Density Modeling. - Herbert Turner; Maggie Zhang; David Gondelach; Richard Linares (DDDAS, 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)

Reinforcement Meta-Learning for Interception of Maneuvering Exoatmospheric Targets with Parasitic Attitude Loop. - Brian Gaudet; Roberto Furfaro; Richard Linares; Andrea Scorsoglio (CoRR, 2020)

Motion Planning and Control for On-Orbit Assembly using LQR-RRT* and Nonlinear MPC. - Bryce Doerr; Richard Linares (CoRR, 2020)

Autonomous Six-Degree-of-Freedom Spacecraft Docking Maneuvers via Reinforcement Learning. - Charles E. Oestreich; Richard Linares; Ravi Gondhalekar (CoRR, 2020)

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 (CVPR Workshops, 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 (IROS, 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)

A Koopman Operator Tutorial with Othogonal Polynomials. - Simone Servadio; David Arnas; Richard Linares (CoRR, 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)

Decentralized Control of Large Collaborative Swarms Using Random Finite Set Theory. - Bryce Doerr; Richard Linares (IEEE Trans. Control. Netw. Syst., 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)

Autonomous Six-Degree-of-Freedom Spacecraft Docking with Rotating Targets via Reinforcement Learning. - Charles E. Oestreich; Richard Linares; Ravi Gondhalekar (J. Aerosp. Inf. Syst., 2021)

A Lambert's Problem Solution via the Koopman Operator with Orthogonal Polynomials. - Julia Pasiecznik; Simone Servadio; Richard Linares (CoRR, 2022)

The RATTLE Motion Planning Algorithm for Robust Online Parametric Model Improvement With On-Orbit Validation. - Keenan Albee; Monica Ekal; Brian Coltin; Rodrigo Ventura 001; Richard Linares; David W. Miller (IEEE Robotics Autom. Lett., 2022)

Optimal Tasking of Ground-Based Sensors for Space Situational Awareness Using Deep Reinforcement Learning. - Peng Mun Siew; Richard Linares (Sensors, 2022)

Transformer-based Atmospheric Density Forecasting. - Julia Briden; Peng Mun Siew; Víctor Rodríguez-Fernández; Richard Linares (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)

Constraint-Informed Learning for Warm Starting Trajectory Optimization. - Julia Briden; Changrak Choi; Kyongsik Yun; Richard Linares; Abhishek Cauligi (CoRR, 2023)

Propagation of Uncertainty with the Koopman Operator. - Simone Servadio; Giovanni Lavezzi; Christian Hofmann; Di Wu; Richard Linares (FUSION, 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)

Language Models are Spacecraft Operators. - Víctor Rodríguez-Fernández; Alejandro Carrasco; Jason Cheng; Eli Scharf; Peng Mun Siew; 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)

Uncertainty Propagation and Filtering via the Koopman Operator in Astrodynamics. - Simone Servadio; William Parker; 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)

Compositional Diffusion Models for Powered Descent Trajectory Generation with Flexible Constraints. - Julia Briden; Yilun Du; Enrico M. Zucchelli; Richard Linares (CoRR, 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)

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, 2024)

Controls for Space: a perspective to 2030s and beyond I. - Martina Mammarella; Simone D'Amico; Marco Pavone 001; Richard Linares; Michael J. Acheson; Finn Ankersen; Takahiro Sasaki; Elena Ancona; Jeremiah DiMatteo; Isaac A. Spiegel; Federica Paganelli Azza; Mattia Varile (ACC, 2025)

Controls for Space: a perspective to 2030s and beyond II. - Martina Mammarella; Simone D'Amico; Marco Pavone 001; Richard Linares; Michael J. Acheson; Finn Ankersen; Takahiro Sasaki; Elena Ancona; Jeremiah DiMatteo; Isaac A. Spiegel; Federica Paganelli Azza; Mattia Varile (ACC, 2025)

MOCAT-pySSEM: An open-source Python library and user interface for orbital debris and source sink environmental modeling. - Indigo Brownhall; Miles Lifson; Stephen Hall; Charles Constant; Giovanni Lavezzi; Marek Ziebart; Richard Linares; Santosh Bhattarai (SoftwareX, 2025)

Diffusion Policies for Generative Modeling of Spacecraft Trajectories. - Julia Briden; Breanna Johnson; Richard Linares; Abhishek Cauligi (CoRR, 2025)

Tight Constraint Prediction of Six-Degree-of-Freedom Transformer-based Powered Descent Guidance. - Julia Briden; Trey Gurga; Breanna Johnson; Abhishek Cauligi; Richard Linares (CoRR, 2025)

Visual Language Models as Operator Agents in the Space Domain. - Alejandro Carrasco; Marco Nedungadi; Enrico M. Zucchelli; Amit Jain; Víctor Rodríguez-Fernández; Richard Linares (CoRR, 2025)

Fine-Tuned Language Models as Space Systems Controllers. - Enrico M. Zucchelli; Di Wu; Julia Briden; Christian Hofmann; Víctor Rodríguez-Fernández; Richard Linares (CoRR, 2025)

Large Language Models as Autonomous Spacecraft Operators in Kerbal Space Program. - Alejandro Carrasco; Víctor Rodríguez-Fernández; Richard Linares (CoRR, 2025)

DreamSat-2.0: Towards a General Single-View Asteroid 3D Reconstruction. - Santiago Diaz; Xinghui Hu; Josiane Uwumukiza; Giovanni Lavezzi; Víctor Rodríguez-Fernández; Richard Linares (CoRR, 2025)

BEAVR: Bimanual, multi-Embodiment, Accessible, Virtual Reality Teleoperation System for Robots. - Alejandro Posadas-Nava; Alejandro Carrasco; Richard Linares (CoRR, 2025)