Reinforcement Learning based 6-DoF Maneuvers for Microgravity Intravehicular Docking: A Simulation Study with Int-Ball2 in ISS-JEM

ARORA, Aman; EL HARIRY, Mhamed Matteo; OLIVARES MENDEZ, Miguel Angel

Paper published on a website (Scientific congresses, symposiums and conference proceedings)

ARORA, Aman; EL HARIRY, Mhamed Matteo; OLIVARES MENDEZ, Miguel Angel

2025 • International Conference on Space Robotics

Peer reviewed

Permalink
https://hdl.handle.net/10993/67129

Files (1)Send to Details Statistics Bibliography Similar publications

Files

Full Text

arora.pdf

Author postprint (1.63 MB)

Download

All documents in ORBilu are protected by a user license.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Disciplines :

Computer science

Author, co-author :

ARORA, Aman ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Space Robotics

EL HARIRY, Mhamed Matteo ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Space Robotics

OLIVARES MENDEZ, Miguel Angel ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > Space Robotics

External co-authors :

Language :

English

Title :

Reinforcement Learning based 6-DoF Maneuvers for Microgravity Intravehicular Docking: A Simulation Study with Int-Ball2 in ISS-JEM

Publication date :

December 2025

Event name :

International Conference on Space Robotics

Event place :

Sendai, Japan

Event date :

1st - 4th December, 2025

Audience :

International

Peer reviewed :

Peer reviewed

Source :

AI4OPA: AI Techniques and Frameworks for Orbital and Planetary Autonomy, Workshop at iSpaRo 2025

Additional URL :

https://sites.google.com/view/ai4opaworkshop/home

Available on ORBilu :

since 07 January 2026

Statistics

Number of views

27 (2 by Unilu)

Number of downloads

7 (0 by Unilu)

More statistics