论文标题
使最终用户能够将灵活的人类机器人团队部署到未来的工厂
Enabling End-Users to Deploy Flexible Human-Robot Teams to Factories of the Future
论文作者
论文摘要
人类机器人团队提供了中小型企业（SME）中部分自动化所需的灵活性。因此，它们将成为未来工厂不可或缺的一部分。我们的研究针对特殊灵活的团队模式，代理商动态共享任务。这种方法需要具有推理和感应能力的认知机器人。这导致了有关传感器校准的硬件维护需求。与直观的最终用户编程相反，在SME中的机器人应用程序中很少解决系统设置和维护。在本文中，我们描述了一个原型软件工具链，该工具链涵盖了人类机器人团队的初始设置，任务建模和在线操作。我们进一步表明，最终用户可以快速设置系统并毫不费力地操作整个工具链。总而言之，这项工作旨在减少关注，即部署人手机构团队的外部专业知识成本高。
Human-Robot Teams offer the flexibility needed for partial automation in small and medium-sized enterprises (SMEs). They will thus be an integral part of Factories of the Future. Our research targets a particularly flexible teaming mode, where agents share tasks dynamically. Such approaches require cognitive robots with reasoning and sensing capabilities. This results in hardware maintenance demands in terms of sensor calibration. In contrast to intuitive end-user programming, system setup and maintenance are rarely addressed in literature on robot application in SMEs. In this paper, we describe a prototype software toolchain that covers the initial setup, task modelling, and online operation of human-robot teams. We further show, that end-users can setup the system quickly and operate the whole toolchain effortlessly. All in all, this work aims to reduce the concern, that deploying human-robot teams comes with high costs for external expertise.
