CV

Contact Information

Name Arunkumar Rathinam
Professional Title Research Scientist
Location Luxembourg
Email arunkumar.rathinam@uni.lu
Website https://arunrathinam.github.io

Summary

Research Scientist at SnT, University of Luxembourg, working at the intersection of computer vision and space robotics, with a focus on bridging the gap between simulation and real data for spacecraft pose estimation and autonomous relative navigation.

Research Interests

  • Computer Vision for Space Robotics, 6DoF Pose Estimation, Unsupervised Domain Adaptation, Space Situational Awareness (SSA), On-board AI / Edge Computing, Small Body Exploration, and Autonomous Relative Navigation.

Education

  • 2015 - 2019

    Sydney, Australia

    PhD
    UNSW Sydney
    Space Robotics
    • Thesis: Small Body Gravimetry using SLAM-based Autonomous Navigation.
  • 2012 - 2015

    Würzburg, Germany

    M.Sc.
    University of Würzburg
    Space Science and Technology
    • Thesis: Design and development of UWE-4 CubeSat: Integration of electric propulsion, structural analysis, and orbital heating analysis.
  • 2003 - 2007

    Chennai, India

    B.E.
    Anna University
    Mechanical Engineering
    • First Class with Distinction.

Experience

  • 2024 - present

    Luxembourg

    Research Scientist
    SnT, University of Luxembourg
  • 2021 - 2024

    Luxembourg

    Research Associate
    SnT, University of Luxembourg
  • 2019 - 2021

    United Kingdom

    Research Associate
    Surrey Space Centre, University of Surrey
  • 2011 - 2012

    India

    Product Engineer
    SKF Technologies Limited
  • 2007 - 2011

    India

    Design Engineer
    TATA Consultancy Services (TCS)

Research Projects

  • 2022 - 2026

    SnT, University of Luxembourg

    Program Lead
    DIOSSA Project [ESA GSTP], Phase 1 (24M) & Phase 2 (18M)
    • Leading a team of researchers developing deep learning solutions for spacecraft pose estimation.
    • Managing the full project lifecycle, including work package execution, monitoring, and progress reporting.
    • Delivered all Phase 1 milestones and defined the scientific roadmap for Phase 2.
    • Outcomes: 3 successful ESA reviews and 5 conference publications.
  • 2023 - 2026

    SnT, University of Luxembourg

    Technical Lead
    Partnership Project with LMO
    • Guiding research strategy on Unsupervised Domain Adaptation (UDA) for spacecraft pose estimation, aligning academic research with industrial partner requirements.
    • Co-supervising PhD research on UDA for 6D pose estimation.
  • 2022 - 2025

    SnT, University of Luxembourg

    Researcher
    MEET-A [FNR Bridges], ENERGETIC [EU Horizon]
    • Provided simulation expertise across research use cases, including battery thermal simulation (ENERGETIC) and spacecraft data simulation (MEET-A).
  • 2019 - 2021

    University of Surrey, UK

    Researcher
    FAIR-SPACE
    • Research: Developed deep learning algorithms for 6DoF spacecraft pose estimation in non-cooperative target scenarios.
    • Edge AI: Evaluated the algorithms on edge hardware with hardware-in-the-loop experiments.
    • Tech transfer: Developed ORVIS, an orbital simulation tool that generates training data for relative navigation.
    • Output: 2 journal publications, 1 book chapter, 2 conference publications; supported 1 start-up initiative.

Space Missions

  • 2022 - 2023

    University of Luxembourg

    CV and ML Lead
    SnT-AI4SPACE Mission (Deployed)
    • Developed and deployed an onboard AI anomaly detection system, validated on flight hardware.
  • 2023 - 2023

    University of Luxembourg

    Simulation Lead
    AUDACITY Mission (Deployed)
    • Designed and deployed an onboard AI algorithm for SSA spacecraft detection, in collaboration with LMO.
  • 2015 - 2015

    University of Würzburg, Germany

    Student Researcher (Master's Thesis)
    UWE-4 CubeSat Mission (Deployed)
    • Developed the mechanical design of the CubeSat for electric propulsion integration, verified via structural and orbital thermal analysis.

Laboratory Experience

  • 2022 - 2026

    University of Luxembourg

    Operations Lead (for CVI²)
    Zero-G Lab
    • Manage end-to-end data-collection campaigns, including requirements gathering, test-plan development, and execution.
    • Coordinate collaborations with other research groups to streamline workflows and align objectives.
    • Align research strategy with equipment and procurement needs, ensuring timely acquisition of resources.
    • Outcomes: 3 major 6D pose datasets, 4 partner data-acquisition campaigns, and 2 journal articles.
  • 2022 - 2026

    University of Luxembourg

    Coordinator
    Computer Vision Lab
    • Overseeing lab setup, project demos, and equipment procurement.
    • Setting up and maintaining the CVI² GPU servers for the research group.
  • 2020 - 2021

    University of Surrey, UK

    Researcher and Coordinator
    Orbital Robotics Testbed @ STAR LAB
    • Coordinated testbed development for experimental validation of relative navigation algorithms.
  • 2020 - 2021

    University of Würzburg, Germany

    Research Assistant
    FloatSat Testbed
    • Designed and implemented a testbed on spherical air bearings for experimental validation of CubeSat ADCS.

Grant Proposals & Funding

  • Co-Author: FNR Bridges U-ADAPT (2025) — Funded
  • Co-Author: ESA Proposal DIOSSA Phase 2 (2024) — Funded
  • Lead Author: FNR Junior CORE Sentient-3D (2022) — Not funded
  • Contributor: FNR CORE DA-GAP (2023); EDF REAL-AI (2022)

Research Supervision

  • PhD co-supervision: Nidhal E. Chenni (2024–present) — Domain Adaptation for 6DoF Pose Estimation. Output: 3 conference papers (A/A*).
  • PhD co-supervision: Ala Souissi (2025–present) — Leveraging Event Sensing for 6DoF Pose Estimation and Tracking.
  • Master’s thesis: Haytam Qadadri (2023) — Spacecraft Pose Estimation using Neuromorphic Sensors. Output: 1 conference paper (A*).

Teaching

  • 2022 - 2026

    University of Luxembourg

    Course Project & Lab Coordinator
    Computer Vision and Image Analysis (CVIA)
    • Coordinating course projects for the MICS and MSTB Master’s programmes and MSTB lab sessions.
  • 2018 - 2019

    UNSW Sydney, Australia

    Teaching Assistant
    ELEC3106: Engineering Course
    • Facilitated laboratory sessions and exam evaluations for undergraduate engineering students.

Scientific Service

  • Co-Organizer: AI4SPACE Workshop @ CVPR (2026, 2024), ECCV (2022)
  • Lead Organizer: SPARK Challenge @ CVPR (2026, 2024), ECCV (2022)
  • Session Chair: EUVIP 2026
  • External Advisor: Neuromorphic Hackathon (2024) @ fortiss, Munich
  • Program Committee: IGNSS Conference (2016, 2017)

Peer Review

Conferences: NeurIPS ('26, '25), CVPR ('26, '24), ECCV ('26, '24, '22), ICRA ('26, '25), WACV ('25), IROS ('23), AI4SPACE Workshop ('26, '24, '22), NEVI Workshop ('24)
Journals: Int. Journal of Robotics Research (IJRR), IEEE Robotics and Automation Letters (RA-L), IEEE Signal Processing Letters (SPL), IEEE Trans. on Aerospace and Electronic Systems, Advances in Space Research (ASR)

Invited Talks

  • Oct 2023 — ESA CleanSpace Industry Days, ESTEC, Netherlands: DL-based spacecraft pose estimation: Opportunities and challenges for future in-orbit servicing missions.
  • Sep 2020 — FAIR-SPACE Workshop, Liverpool, UK: On-orbit relative pose estimation of a non-cooperative target using convolutional neural networks.
  • Oct 2018 — 17th Space Generation Congress, Bremen, Germany: Reusable CubeSat constellation for asteroid rover navigation and communication.
  • Sep 2017 — 3rd Off Earth Mining Forum, UNSW Sydney, Australia: Autonomous spacecraft navigation near an asteroid.

Technical Skills

Deep Learning: PyTorch, PyTorch Lightning, TensorFlow, Hydra, OpenCV, NumPy
Robotics & Simulation: ROS, PANGU (ESA), Unreal Engine 4, Blender
Programming: Python, C++, MATLAB, Julia
Embedded AI: NVIDIA Jetson (Nano / Xavier NX), Arduino, edge inference optimization
Mechanical Engineering: CAD: Creo, CATIA V5, SolidWorks, Inventor; FEM/FEA: NASTRAN, COMSOL
DevOps & Tools: Git, Docker, Windchill PDM, Nginx, Gunicorn

Honors & Awards

  • Winner, Move an Asteroid Technical Paper Competition (2018) — Space Generation Advisory Council (SGAC), Bremen
  • IAC Travel Grant / Sponsorship (2017) — National Space Society of Australia, to attend the International Astronautical Congress
  • UNSW Departmental PhD Scholarship (2015) — Full tuition plus living stipend for the duration of candidature
  • Erasmus Mobility Grant (2013) — Competitive grant for a Master’s exchange year
  • Top Achiever Award, SKF (2012) — Ranked 1st in performance assessment at SKF India

Languages

English : Fluent
Tamil : Native speaker
German : Basic