LEARNING
μ₀：一种可扩展的3D交互轨迹世界模型
Seungjae Lee, Yoonkyo Jung, Jusuk Lee, Jonghun Shin, Amir Hossein Shahidzadeh, Yao-Chih Lee, H. Jin Kim, Jia-Bin Huang, Furong Huang
- 发表年份
- 2026
- 访问权限
- 开放获取
摘要
本文提出μ₀，一种基于3D轨迹的可扩展世界模型，通过预测交互点的平滑3D轨迹而非像素或动作标签，实现与具体形态无关的机器人学习。实验表明，μ₀在2D和3D轨迹预测上优于基线方法。
关键词
world model3D tracesrobot learningembodiment-agnosticvision-language
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