Arunkumar Rathinam

Arunkumar Rathinam

Researcher | Space Robotics & Computer Vision

SnT, University of Luxembourg

About me

Arunkumar Rathinam is currently works as a Research Associate at SnT, Interdisciplinary Center for Security, Reliability and Trust, University of Luxembourg. He is a member of the Computer Vision, Imaging and Machine Intelligence Research Group (CVI2) leading multiple Space projects and SPARK challenge activities . His research areas are vision-based spacecraft navigation, deep learning-based pose estimation and neuromorphic vision. He received his PhD degree from the UNSW, Sydney in 2019. His PhD was on developing SLAM approaches for an orbiting spacecraft around an asteroid to achieve autonomous mapping and navigation. Before joining SnT, he worked as a Research Associate at the Surrey Space Center, University of Surrey, UK.

Interests
  • Vision-based Navigation
  • Space Robotics
  • Deep learning
Education
  • PhD in Space Robotics, 2019

    UNSW (Australia)

  • MSc in Space Science and Technology, 2015

    University of Würzburg (Germany)

  • BE in Mechanical Engineering, 2007

    Anna University (India)

Latest News

Experience

 
 
 
 
 
SnT, University of Luxembourg
Research Associate
September 2021 – Present Luxembourg
Computer Vision for Space Applications
 
 
 
 
 
Surrey Space Center, University Of Surrey
Research Associate
May 2019 – September 2021 United Kingdom
Computer Vision for Space Applications

Recent Publications

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(2024). Discriminator-free Unsupervised Domain Adaptation for Multi-label Image Classification. In WACV.

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(2023). Establishing a Multi-Functional Space Operations Emulation Facility: Insights from the Zero-G Lab.

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(2023). Zero-G lab: a multi-purpose facility for emulating space operations. Journal of Space Safety Engineering.

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(2022). AKM Dataset: Textureless Space Target Dataset. https://doi.org/10.5281/zenodo.7744505.

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(2022). CubeSat-CDT: A Cross-Domain Dataset for 6-DoF Trajectory Estimation of a Symmetric Spacecraft. Proceedings of the 17th European Conference on Computer Vision Workshops (ECCVW 2022).

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