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CoDA 提出一种仿真数据引擎与机器人动作策略协同演进的框架，通过共享失败与学习进展记忆、视觉语言诊断以及 Text2potential 分阶段势能奖励，将机器人操作任务的分布外成功率从 5.3% 提升至 27.6%，并在 LIBERO-Pro 上取得显著改善。
DuckLake 是一个基于 SQL 和 Parquet 构建的开放 Lakehouse 格式，其 DuckDB 扩展允许直接读写 DuckLake 数据，支持时间旅行、Schema 演进和变更数据流（CDC）等功能。
Filament is a fast data movement engine in Go that provides pluggable data replication with checkpointing, batching, and integrity events for reliable and durable data pipelines.
WorldRover is a scalable synthetic data engine that generates long-range, richly annotated video sequences with depth and camera motion to support training models for coherent world exploration.
Introduces ACE-Data-0, a large-scale embodied AI dataset with 150 hours of synchronized multimodal human demonstrations across 200 task categories, captured by the Ambient Capture Engine (ACE) in real home environments. Includes a hierarchical benchmark exposing gaps in current methods under contact, occlusion, and long horizons.
This paper rethinks interactive world models as game engines by examining four key dimensions—action control, state dynamics, state-observation persistence, and real-time generation—and introduces a scalable data engine for Black Myth: Wukong with over 90 hours of gameplay data to advance state-aware game world modeling.
OpenLongTail is an open-source generative data engine that transforms heterogeneous long-tail driving data into view-aligned multi-view assets for training robust autonomous driving policies, improving closed-loop driving robustness.