Reproduce “CAPTURER: A Dexterous Aerial Manipulator for Dynamic and Precise Grasping across Diverse 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
Meng Wang, Jindou Jia, Sicheng Zhou, Zeshuai Chen, Kexin Guo, Xiang Yu, Lei Guo
CAPTURER coordinates a drone’s approach with a rigid arm’s local adjustments to grasp moving targets. Its perception estimates target motion, while an online planner updates references for both and a controller compensates for arm-induced disturbances. In trials, all six attempts succeeded with targets moving up to 0.75 m/s. Trials used robot motion capture and marker-based target information.
Summary by alphaXiv.
Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.