3 papers
cs.RO2026
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…
cs.RO2025
RoboRAN: A Unified Robotics Framework for Reinforcement Learning-Based Autonomous Navigation
Matteo El-Hariry, Antoine Richard, Ricard M. Castan +4
Autonomous robots must navigate and operate in diverse environments, from terrestrial and aquatic settings to aerial and space domains. While Reinforcement Learning (RL) has shown…
cs.RO2023
DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories
Matteo El-Hariry, Antoine Richard, Vivek Muralidharan +2
This investigation introduces a novel deep reinforcement learning-based suite to control floating platforms in both simulated and real-world environments. Floating platforms serve…