Despite a surge in robotics research dedicated to inferring and understanding human intent, a universally accepted definition remains elusive since existing works often equate human intention with specific task-related goals. This article seeks to address this gap by examining the multifaceted nature of intention. Drawing on insights from psychology, it attempts to consolidate a definition of intention into a comprehensible framework for a broader audience. The article classifies different types of intention based on psychological and communication studies, offering guidance to researchers shifting from pure technical enhancements to a more human-centric perspective in robotics. It then demonstrates how various robotics studies can be aligned with these intention categories. Finally, through in-depth analyses of collaborative search and object transport use cases, the article underscores the significance of considering the diverse facets of human intention.

翻译：尽管机器人学研究中涌现出大量致力于推断和理解人类意图的工作，但由于现有研究常将人类意图等同于特定任务相关目标，其普遍接受的定义仍难以确立。本文旨在通过考察意图的多维特性来填补这一空白。借鉴心理学的研究成果，本文尝试将意图的定义整合为一个易于更广泛受众理解的框架。文章基于心理学与传播学研究对不同类型的意图进行了分类，为研究者从纯粹的技术改进转向更具人本视角的机器人学研究提供了指引。随后展示了各类机器人学研究如何与这些意图类别相契合。最后，通过对协作搜索与物体搬运两个应用案例的深入分析，本文强调了考量人类意图不同维度的重要性。