厘清机器人世界模型与行动模型的本质差异与应用逻辑
From World Models to World Action Models: A Concise Tutorial for Robotics
- 提出统一视角比较三大主流模型的表征与预测能力
- 明确不同模型在空间智能与交互机制上的核心差异
- 适合想理解机器人具身智能框架的研究者阅读
本文不作全面综述，而是为机器人领域的世界模型与世界行动模型提供一份简明教程。读者阅读后将清晰理解何为“世界”、世界模型与世界行动模型的定义及其在机器人人工智能系统中的角色。教程还建立了一个统一视角，用于对比代表性方法：World Labs的空间智能模型、Yann LeCun的JEPA框架以及NVIDIA的Cosmos平台，并阐明这些模型在表征方式、预测能力与交互机制上的异同。
原文摘要 · Abstract (English)
Rather than providing an exhaustive survey, this paper presents a concise tutorial on world models and world action models for robotics. After reading the tutorial, readers should have a clear understanding of what constitutes a "world", how world models and world action models are defined, and what roles they play within robotic AI systems. The tutorial also develops a unified perspective for comparing representative approaches, such as World Labs' spatial intelligence models, Yann LeCun's JEPA framework, and NVIDIA's Cosmos platform, and clarifies how these models differ in their representations, predictive capabilities, and interaction mechanisms.
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