为机器人理解人类意图提供分类框架，推动技术向以人为本转变。
The human intention. A taxonomy attempt and its applications to robotics
- 基于心理学与沟通研究，构建人类意图的多维度分类体系
- 将不同意图类型映射到具体机器人应用场景中
- 适用于关注人机协作、共情交互的研究者
尽管近年来机器人领域在推断与理解人类意图方面取得显著进展，但尚未形成普遍接受的定义，现有研究常将人类意图等同于特定任务目标。本文试图填补这一空白，通过借鉴心理学理论，系统探讨意图的多面性，提出一个可理解的整合框架，帮助更广泛受众理解意图本质。文章依据心理学与沟通学研究，对意图进行分类，并为从纯技术优化转向以人为中心的机器人研究提供指导。随后，展示了如何将各类意图分类应用于具体机器人研究。最后，通过对协作搜索与物体搬运场景的深入分析，强调考虑人类意图多样性的关键意义。
原文摘要 · Abstract (English)
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.
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