Reproduce “Star-Searcher: A Complete and Efficient Aerial System for Autonomous Target Search in Complex Unknown Environments” on OpenResearch
Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.
Universal app for Apple silicon and Intel. Requires macOS 11 or later.
About this paper
Yiming Luo, Zixuan Zhuang, Neng Pan, Chen Feng, Shaojie Shen, Fei Gao, Hui Cheng, Boyu Zhou
Star-Searcher plans aerial searches that explore unknown space while inspecting occupied surfaces from camera-suitable viewpoints. It tracks uninspected surfaces, groups visible viewpoints, and uses route history to stabilize regional order as maps change. In five SubT simulation runs, it averaged 153.36 s and 191.65 m, recognizing all planted AprilTags; these results do not guarantee detection of arbitrary real-world targets.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.