构建机器人能力框架，促进人机协作设计的跨学科对话。
Robotic capabilities framework: A boundary object and intermediate-level knowledge artifact for co-designing robotic processes
- 以高阶能力为焦点，搭建技术与经验知识的沟通桥梁。
- 通过两次实践验证，框架能有效引导任务分工讨论。
- 适合人机协作设计、工作流程优化的研究与从业者使用。
随着机器人在适应性、响应性和人机交互方面不断进步，人机协作的设计变得至关重要。然而，当前设计多由单一学科主导，常忽视跨学科知识及一线工作者的经验。为此，本文提出机器人能力框架，一种支持跨学科协作的术语体系，帮助各方在机器人融入工作场所时共同塑造未来工作形态。该框架不关注机器人的内部机制，而是聚焦于高层次能力，推动讨论哪些任务应由人类主导，哪些可交由机器人执行。框架通过反思性迭代过程构建，并在两个场景中验证：一是让机器人工程师用其术语描述现有商用机器人，二是在学生机器人项目设计活动中应用。结果表明，该框架作为中间层级的知识载体和边界对象，能连接技术与实践经验，指导设计者、赋能劳动者，助力更公平、协作的工作未来。
原文摘要 · Abstract (English)
As robots become more adaptable, responsive, and capable of interacting with humans, the design of effective human-robot collaboration becomes critical. Yet, this design process is typically led by monodisciplinary approaches, often overlooking interdisciplinary knowledge and the experiential knowledge of workers who will ultimately share tasks with these systems. To address this gap, we introduce the robotic capabilities framework, a vocabulary that enables transdisciplinary collaborations to meaningfully shape the future of work when robotic systems are integrated into the workplace. Rather than focusing on the internal workings of robots, the framework centers discussion on high-level capabilities, supporting dialogue around which elements of a task should remain human-led and which can be delegated to robots. We developed the framework through reflexive and iterative processes, and applied it in two distinct settings: by engaging roboticists in describing existing commercial robots using its vocabulary, and through a design activity with students working on robotics-related projects. The framework emerges as an intermediate-level knowledge artifact and a boundary object that bridges technical and experiential domains, guiding designers, empowering workers, and contributing to more just and collaborative futures of work.
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