A major goal in robotics is to enable intelligent mobile robots to operate smoothly in shared human-robot environments. One of the most fundamental capabilities in service of this goal is competent navigation in this ``social" context. As a result, there has been a recent surge of research on social navigation; and especially as it relates to the handling of conflicts between agents during social navigation. These developments introduce a variety of models and algorithms, however as this research area is inherently interdisciplinary, many of the relevant papers are not comparable and there is no shared standard vocabulary. This survey aims to bridge this gap by introducing such a common language, using it to survey existing work, and highlighting open problems. It starts by defining the boundaries of this survey to a limited, yet highly common type of social navigation - conflict avoidance. Within this proposed scope, this survey introduces a detailed taxonomy of the conflict avoidance components. This survey then maps existing work into this taxonomy, while discussing papers using its framing. Finally, this paper proposes some future research directions and open problems that are currently on the frontier of social navigation to aid ongoing and future research.
翻译:机器人的一个主要目标是使智能移动机器人能够在共享的人类机器人环境中顺利地运行。为这一目标服务的最根本能力之一是在这种“社会”背景下进行胜任的导航。因此,最近社会导航研究激增;特别是处理社会导航过程中各种代理人之间的冲突。这些发展引进了各种模型和算法,然而,由于这一研究领域本质上是跨学科的,许多相关文件并不具有可比性,也没有共同的标准词汇。这一调查旨在通过采用这种共同语言来弥补这一差距,利用它来调查现有工作,并突出突出尚未解决的问题。首先,将这一调查的范围界定为有限但非常常见的社会导航类型,即避免冲突。在这一拟议范围内,这项调查介绍了避免冲突组成部分的详细分类。这项调查随后在讨论使用其框架的文件时,绘制了有关该分类学的现有工作图。最后,本文件提出一些未来研究方向和公开问题,这些问题目前位于社会导航前沿,以帮助进行中和今后的研究。