arXiv:2605.30569cs.RO2026-05

通过快速更换工具末端,机器人用简单装置实现复杂操作。

Any-ttach: Quick End-effector Swapping Enables Manipulation Dexterity with Simplicity

论文配图:Any-ttach: Quick End-effector Swapping Enables Manipulation Dexterity with Simplicity
图 1 · 摘自论文原文
  • 用可自动切换的接口和人类示范数据,构建可组合的工具使用技能。
  • 在切三明治和拌黄瓜任务中成功执行六次工具切换,误差率低。
  • 适合需要多工具协作的日常操作场景,如家庭服务机器人。

机器人灵巧操作通常依赖于高自由度、多指仿人手的设计。然而,人类手部的复杂性很大程度上是为了使用和制作工具。受此启发,本文提出 Any-ttach,一种以工具为中心的操作框架,将快速末端执行器更换作为提升灵巧性的简化路径。系统包含低成本自动切换机构、手持演示设备及任务规划框架,支持多种工具与末端模块(包括日常工具、剪刀等联动工具、Fin Ray 指、低成本仿人手),通过统一接口完成操作。实验表明,Any-ttach 提高了换工具可靠性,提升了示范效率,降低工具位姿偏差,并支持多样化工具使用技能。在两个长时序任务中,系统通过末端切换执行六项子技能完成三明治制作与黄瓜准备。结果表明,机器人可通过快速交换工具和末端模块拓展操作能力,而不仅依赖更复杂的末端设计。更多细节与视频见 https://any-ttach.github.io/。

原文摘要 · Abstract (English)

Robotic manipulation dexterity is often pursued by building increasingly complex high-DoF multifingered hands. While many robotic hands are designed to replicate human morphology, the functional role of human hands suggests a different perspective: much of their complexity may exist to enable tool use and tool making. This observation motivates Any-ttach, a tool-centric manipulation framework that treats quick end-effector swapping as a mechanism for dexterity with simplicity. Any-ttach combines a low-cost automatic swapping mechanism for an open-close robot interface, a handheld device for collecting human demonstrations, and a task planning framework that composes learned, parameterized, and planned tool-use skills. The system supports diverse tools and end-effector modules, including daily tools, articulated tools such as scissors, Fin Ray fingers, and a low-cost anthropomorphic hand, through the same shared interface. Our experiments show that Any-ttach improves tool-swapping reliability, increases demonstration efficiency, reduces tool-pose variability, and supports diverse tool-use skills. In two long-horizon tasks, making a sandwich and preparing a cucumber, Any-ttach executes six tool-use subskills through end-effector switching and execution monitoring. These results suggest that robots can expand manipulation capability not only through more complex end-effectors, but also through rapidly exchangeable tools and end-effector modules. More details and videos are available at https://any-ttach.github.io/.

机器人操作工具更换灵巧抓取任务规划

Thank you to arXiv for use of its open access interoperability. PaperDance 不是 arXiv 官方产品;中文卡片由大模型生成,请以原文为准。