具身智能科技前瞻探索（第2期）

01 02 /CONTENTS 01020304050607 RLinf-USER  RLinf-USER1.2  数据来源：《RLinf-USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AI》 Ψ02.1 学习人类视频数据  Ψ02.2 ₀₀ ₀ 数据来源：《Ψ0: An Open Foundation Model Towards Universal Humanoid Loco-Manipulation》 ManipulationNet 测试基准  ManipulationNet3.2  数据来源：ManipulationNet项目主页 4.1 解决灾难性遗忘  4.2  DexGrasp-Zero 跨本体灵巧手操作  DexGrasp-Zero  数据来源：《DexGrasp-Zero: A Morphology-Aligned Policy for Zero-Shot Cross-Embodiment Dexterous Grasping》 Fast-WAM 提升推理速度   Fast-WAM6.2  数据来源：Fast-WAM项目网站    THANKS FORLISTENING