---
id: 20260506-T0-03
title: "物理世界模型生成新视角：用哈密顿力学统一生成框架，解决物理一致性难题"
title_en: "Hamiltonian Framework Unifies Generative World Models for Physical Consistency"
url: https://ai.daily.yangsir.net/daily/20260506-T0-03
issue_date: 2026-05-06
publish_date: 2026-05-05T04:00:00.000Z
category: research
source_name: "arXiv cs.AI"
source_url: https://arxiv.org/abs/2605.00412
---

# 物理世界模型生成新视角：用哈密顿力学统一生成框架，解决物理一致性难题

该研究从哈密顿力学的视角提出了一种新的物理世界生成模型。当前的世界模型研究通常被2D图像、3D物理和视频生成等分离的路线主导，缺乏统一的物理规律表达。这项工作将经典力学中的哈密顿原理引入生成模型，以解决物理一致性问题。研究者在具身智能、机器人、自动驾驶和强化学习等场景中验证了该方法，为构建符合物理规律的世界模型提供了新的理论基础。

## English Version

**Hamiltonian Framework Unifies Generative World Models for Physical Consistency**

This paper proposes a new generative world model from a Hamiltonian perspective. Current world model research is often fragmented across 2D images, 3D physics, and video generation, lacking a unified representation of physical laws. By introducing Hamiltonian principles from classical mechanics into generative models, the research addresses the challenge of physical consistency. The framework has been evaluated in embodied intelligence, robotics, autonomous driving, and reinforcement learning scenarios.

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**来源**：[arXiv cs.AI](https://arxiv.org/abs/2605.00412)

**详情页**：https://ai.daily.yangsir.net/daily/20260506-T0-03

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