众包服务机器人的任务轨迹
Crowdsourcing Task Traces for Service Robotics
AI总结：
本文提出利用众包收集家庭任务轨迹，构建轻量级Web界面在Amazon Mechanical Turk上获取207个跨18类任务轨迹，以辅助终端用户开发并探讨将其操作化为任务模型的愿景。
摘要：
演示是一种有效的终端用户开发范式，用于教导机器人如何执行新任务。在本文中，我们主张演示不仅作为一种教学工具很有用，而且作为理解和协助终端用户开发者思考手头任务的一种方式也很有用。作为获得这种理解的第一步，我们构建了一个轻量级的网络界面，利用潜在终端用户开发者的想象力和过往经验，众包常见家庭任务的分步指令。作为我们界面实用性的证据，我们在 Amazon Mechanical Turk 上部署了该界面，并收集了 207 个任务轨迹，涵盖 18 个不同的任务类别。我们描述了关于这些任务轨迹如何在终端用户开发工具内被操作化为任务模型的愿景，并提供了未来工作的路线图。
英文摘要：
Demonstration is an effective end-user development paradigm for teaching robots how to perform new tasks. In this paper, we posit that demonstration is useful not only as a teaching tool, but also as a way to understand and assist end-user developers in thinking about a task at hand. As a first step toward gaining this understanding, we constructed a lightweight web interface to crowdsource step-by-step instructions of common household tasks, leveraging the imaginations and past experiences of potential end-user developers. As evidence of the utility of our interface, we deployed the interface on Amazon Mechanical Turk and collected 207 task traces that span 18 different task categories. We describe our vision for how these task traces can be operationalized as task models within end-user development tools and provide a roadmap for future work.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
