Robotic Connector Mating Dataset
收藏arXiv2025-09-30 收录
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https://claudius-kienle.github.io/AppMuTT
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资源简介：
该数据集来自机器人线束安装过程，重点关注五种不同工业连接器与汽车中控台相应插座的对接。该数据集不仅包含了记录的末端执行器动作和力量数据，还包含了环境的2D图像，旨在助力训练用于机器人装配任务的模式识别模型。数据集规模为1000个训练样本，大约需要三小时来收集。其任务是优化机器人连接器的对接和插入过程。
This dataset is derived from the robotic wire harness installation process, focusing on the docking between five distinct industrial connectors and their matching sockets on automotive center consoles. Besides the recorded end-effector motion and force data, this dataset also includes 2D environmental images, aiming to facilitate the training of pattern recognition models for robotic assembly tasks. The dataset contains 1000 training samples, and the data collection takes approximately three hours. Its core task is to optimize the docking and insertion process of robotic connectors.
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