论文标题
tagteam：朝着可穿戴辅助的，隐含的人类无线团队的指导
TagTeam: Towards Wearable-Assisted, Implicit Guidance for Human--Drone Teams
论文作者
论文摘要
传感器丰富的智能可穿戴设备以及诸如Nano Quadcopters之类的微小但功能强大的无人车辆的可用性为一类新型的高度互动性，注意力共享的人类 - 机器人 - 机器人团队提供了机会。在这样的人类机器团队中，可靠，轻巧但被动地交换意图，数据和推断使它们适合于诸如搜索和撤退之类的方案，并在速度，准确性和语义意识方面具有显着提高的性能。在本文中，我们阐明了对这种人类团队的愿景 - 这些团队必须涵盖这些团队。我们提出Tagteam，这是这样一个团队的早期原型，并分享了关键能力的有前途的演示（即运动意识）。
The availability of sensor-rich smart wearables and tiny, yet capable, unmanned vehicles such as nano quadcopters, opens up opportunities for a novel class of highly interactive, attention-shared human--machine teams. Reliable, lightweight, yet passive exchange of intent, data and inferences within such human--machine teams make them suitable for scenarios such as search-and-rescue with significantly improved performance in terms of speed, accuracy and semantic awareness. In this paper, we articulate a vision for such human--drone teams and key technical capabilities such teams must encompass. We present TagTeam, an early prototype of such a team and share promising demonstration of a key capability (i.e., motion awareness).
