Robot Perception of Human Groups in the Real World: State of the Art
Robot Perception of Human Groups in the Real World: State of the Art
复制标题
机器人对现实世界中人类群体的感知：最新技术
DOI：
--
复制
发表时间：
2016
期刊：
影响因子：
--
通讯作者：
L. Riek
中科院分区：
文献类型：
--
作者：
Angelique Taylor;L. Riek
当机器人进入人类空间并开始与人类近距离合作时，了解人类社交互动就变得非常重要。他们必须能够感知人类的社会信号并了解如何适应群体。我们工作的目标是设计机器人感知算法，使机器人能够通过社交线索了解人类群体动态，并了解如何在群体中进行协作。在本文中，我们讨论了社会信号处理和计算机视觉这两个领域的当前最新技术，这两个领域为实现这一目标提供了方法。我们描述了这些领域的最新进展，以及将它们应用于移动机器人时面临的一些挑战。
As robots enter human spaces and begin to work proximately with people, it is important that they understand human social interaction. They must be able to perceive human social signals and understand how to adapt to groups. The goal of our work is to design robot perception algorithms that allow robots to understand human group dynamics via social cues, and understand how to behave collaboratively in groups. In this paper, we discuss the current state-of-the-art of two fields that have contributed methods to achieve this goal, social signal processing and computer vision. We describe recent advances in these fields, as well as some of the challenges faced when adapting them to mobile robots.