Matteo El Hariry

According to our database, Matteo El Hariry authored at least 12 papers between 2023 and 2025.

Collaborative distances:

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

2025

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 A. Olivares-Méndez

CoRR, December, 2025

Spacecraft Angular Rate Estimation via Event-Based Camera Sensing.

Vittorio Franzese, Matteo El Hariry

CoRR, November, 2025

RL-AVIST: Reinforcement Learning for Autonomous Visual Inspection of Space Targets.

Matteo El Hariry, Andrej Orsula, Matthieu Geist, Miguel A. Olivares-Méndez

CoRR, October, 2025

Towards Active Excitation-Based Dynamic Inertia Identification in Satellites.

Matteo El Hariry, Vittorio Franzese, Miguel A. Olivares-Méndez

CoRR, October, 2025

Beyond Domain Randomization: Event-Inspired Perception for Visually Robust Adversarial Imitation from Videos.

Andrea Ramazzina, Vittorio Giammarino, Matteo El Hariry, Mario Bijelic

CoRR, May, 2025

NavBench: A Unified Robotics Benchmark for Reinforcement Learning-Based Autonomous Navigation.

Matteo El Hariry, Antoine Richard, Ricard M. Castan, Luis F. W. Batista, Matthieu Geist, Cédric Pradalier, Miguel A. Olivares-Méndez

CoRR, May, 2025

Deep Reinforcement Learning Policies for Underactuated Satellite Attitude Control.

Matteo El Hariry, Andrea Cini, Giacomo Mellone, Alessandro Balossino

CoRR, May, 2025

RoboRAN: A Unified Robotics Framework for Reinforcement Learning-Based Autonomous Navigation.

Matteo El Hariry, Antoine Richard, Ricard Marsal, Luis Felipe Wolf Batista, Matthieu Geist, Cédric Pradalier, Miguel A. Olivares-Méndez

Trans. Mach. Learn. Res., 2025

2024

DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories.

Matteo El Hariry, Antoine Richard, Vivek Muralidharan, Matthieu Geist, Miguel A. Olivares-Méndez

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2024

2023

RANS: Highly-Parallelised Simulator for Reinforcement Learning based Autonomous Navigating Spacecrafts.

Matteo El Hariry, Antoine Richard, Miguel A. Olivares-Méndez

CoRR, 2023

DRIFT: Deep Reinforcement Learning for Intelligent Floating Platforms Trajectories.

Matteo El Hariry, Antoine Richard, Vivek Muralidharan, Baris Can Yalçin, Matthieu Geist, Miguel A. Olivares-Méndez

CoRR, 2023

Mobility Strategy of Multi-limbed Climbing Robots for Asteroid Exploration.

Warley F. R. Ribeiro, Kentaro Uno, Masazumi Imai, Koki Murase, Baris Can Yalçin, Matteo El Hariry, Miguel A. Olivares-Méndez, Kazuya Yoshida

Proceedings of the Synergetic Cooperation Between Robots and Humans - Proceedings of the CLAWAR 2023 Conference, 2023