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A Retro-Projected Robotic Head for Social Human-Robot Interaction

机译:社交人机交互的复古机器人头

摘要

As people respond strongly to faces and facial features, both con-sciously and subconsciously, faces are an essential aspect of socialrobots. Robotic faces and heads until recently belonged to one of thefollowing categories: virtual, mechatronic or animatronic. As an orig-inal contribution to the field of human-robot interaction, I present theR-PAF technology (Retro-Projected Animated Faces): a novel robotichead displaying a real-time, computer-rendered face, retro-projectedfrom within the head volume onto a mask, as well as its driving soft-ware designed with openness and portability to other hybrid roboticplatforms in mind.The work constitutes the first implementation of a non-planar masksuitable for social human-robot interaction, comprising key elementsof social interaction such as precise gaze direction control, facial ex-pressions and blushing, and the first demonstration of an interactivevideo-animated facial mask mounted on a 5-axis robotic arm. TheLightHead robot, a R-PAF demonstrator and experimental platform,has demonstrated robustness both in extended controlled and uncon-trolled settings. The iterative hardware and facial design, details of thethree-layered software architecture and tools, the implementation oflife-like facial behaviours, as well as improvements in social-emotionalrobotic communication are reported. Furthermore, a series of evalua-tions present the first study on human performance in reading roboticgaze and another first on user’s ethnic preference towards a robot face.
机译:当人们有意识地和潜意识地对面部和面部特征做出强烈反应时,面部表情是社交机器人的重要方面。直到最近,机器人的脸部和头部属于以下类别之一:虚拟,机电或动画。作为对人机交互领域的一项原始贡献,我介绍了R-PAF技术(复古投影的动画人脸):一种新颖的机器人头,显示了实时的计算机渲染的人脸,并从人头内进行了复古投影。这项工作构成了适用于社会人机交互的非平面掩模的首次实现,该非平面掩模适用于社交和人机交互,包括社交交互的关键要素,例如:精确的注视方向控制,面部表情和脸红,并首次展示了安装在5轴机械臂上的交互式视频动画面膜。 LightHead机器人是R-PAF演示器和实验平台,在扩展的受控和非受控设置下都表现出了强大的功能。报告了迭代的硬件和面部设计,三层软件体系结构和工具的详细信息,栩栩如生的面部行为的实现以及社会情感机器人交流的改进。此外,一系列评估提供了有关人类在阅读机器人注视方面的性能的第一项研究,以及有关用户对机器人面部的种族偏好的第一项研究。

著录项

  • 作者

    Delaunay Frédéric C.;

  • 作者单位
  • 年度 2016
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类

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