Robots are becoming increasingly omnipresent in our daily lives, supporting us and carrying out autonomous tasks. In Human-Robot Interaction, human actors benefit from understanding the robot's motion intent to avoid task failures and foster collaboration. Finding effective ways to communicate this intent to users has recently received increased research interest. However, no common language has been established to systematize robot motion intent. This work presents a scoping review aimed at unifying existing knowledge. Based on our analysis, we present an intent communication model that depicts the relationship between robot and human through different intent dimensions (intent type, intent information, intent location). We discuss these different intent dimensions and their interrelationships with different kinds of robots and human roles. Throughout our analysis, we classify the existing research literature along our intent communication model, allowing us to identify key patterns and possible directions for future research.
翻译:机器人在日常生活中日益无所不在,支持我们,执行自主任务。在人类机器人互动中,人类行为者从理解机器人的动作意图而获益,以避免任务失败和促进协作。寻找有效的方式向用户传播这种意图最近引起了越来越多的研究兴趣。然而,没有形成共同的语言来将机器人运动意图系统化。这项工作提出了旨在统一现有知识的范围界定审查。根据我们的分析,我们提出了一个意图交流模型,通过不同的意图层面(意图类型、意图信息、意图位置)描述机器人与人类之间的关系。我们讨论了这些不同的意图层面及其与不同类型机器人和人类角色的相互关系。我们在整个分析过程中,按照我们的意图交流模式对现有的研究文献进行了分类,使我们能够确定未来研究的主要模式和可能的方向。</s>