5 citations · 5 across the 8 of their papers we have counts for
9 papers
Fleet-To-Lab: A Transfer Learning Framework For Lunar Rover Slippage Estimation Via Model Fusion
Riccardo Viviano, Saki Omi, Andrej Orsula +1
Accurate wheel slip estimation is essential for autonomous lunar rover mobility and navigation. Machine Learning models trained on terrestrial data generalize poorly to lunar terra…
SCoCaT: Success Conditioned Constrained Reinforcement Learning for Spacecraft Docking
Aman Arora, Ricard Marsal I Castan, Matteo El-Hariry +1
Termination-based constrained reinforcement learning is attractive for safety-critical robotic deployments: it avoids online optimization at inference, scales easily to many constr…
FALCON-S: Fixed-wing ground-effect Aerodynamics Simulator and Flight Control Learning Suite
Matteo El Hariry, Pedro Lima, Andrej Orsula +2
We present a modular, high-fidelity simulation framework for the development and benchmarking of flight control strategies in fixed-wing aerial robots operating near the ground. Un…
Privileged Critic Training Enables Sensor-Free Thruster Fault Adaptation in End-to-End RL
Ricard Marsal I Castan, Miguel A. Olivares-Méndez
Fault-tolerant navigation for thruster-actuated robots requires online adaptation to failures that are neither binary nor fully observable: thrusters may degrade continuously, fail…
Learning Adaptive Multi-Task Guidance, Navigation, and Control via Hypernetworks
Ricard Marsal I Castan, Aman Arora, Antoine Richard +3
Autonomous free-flying robots in orbital environments require controllers that are both versatile and resource-efficient, yet maintaining a separate, task-specific policy for each…
Reinforcement Learning based 6-DoF Maneuvers for Microgravity Intravehicular Docking: A Simulation Study with Int-Ball2 in ISS-JEM
Aman Arora, Matteo El-Hariry, Miguel Olivares-Mendez
Autonomous free-flyers play a critical role in intravehicular tasks aboard the International Space Station (ISS), where their precise docking under sensing noise, small actuation m…