English

Towards Robust Autonomous Landing Systems: Iterative Solutions and Key Lessons Learned

Robotics 2025-05-22 v2

Abstract

Uncrewed Aerial Vehicles (UAVs) have become a focal point of research, with both established companies and startups investing heavily in their development. This paper presents our iterative process in developing a robust autonomous marker-based landing system, highlighting the key challenges encountered and the solutions implemented. It reviews existing systems for autonomous landing processes, and through this aims to contribute to the community by sharing insights and challenges faced during development and testing.

Keywords

Cite

@article{arxiv.2505.12176,
  title  = {Towards Robust Autonomous Landing Systems: Iterative Solutions and Key Lessons Learned},
  author = {Sebastian Schroder and Yao Deng and Alice James and Avishkar Seth and Kye Morton and Subhas Mukhopadhyay and Richard Han and Xi Zheng},
  journal= {arXiv preprint arXiv:2505.12176},
  year   = {2025}
}
R2 v1 2026-07-01T02:19:02.828Z