This paper presents an experimental platform for studying intentional-state attribution toward a non-humanoid robot. The system combines a simulated robot, realistic task environments, and large language model-based explanatory layers that can express the same behavior in mentalistic, teleological, or mechanistic terms. By holding behavior constant while varying the explanatory frame, the platform provides a controlled way to investigate how language and framing shape the adoption of the intentional stance in robotics.

翻译：本文提出了一种实验平台，用于研究对非人形机器人的意图状态归因过程。该平台整合了模拟机器人、真实任务环境以及基于大语言模型的可解释层，能够以心理状态论、目的论或机械论术语表达相同行为。通过保持行为不变仅改变解释框架，该平台为研究语言与框架如何影响机器人领域中意图立场采纳提供了可控途径。