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#Embodied AI

Feb 20

Feb 20Fri
  1. Jim FanAI score75

    DreamDojo: Open-source world model trained on 44K hours of human video

    Jim Fan announced DreamDojo, an open-source interactive world model that takes robot motor controls and generates future frames in pixels. It is pre-trained on 44K hours of human egocentric video using latent actions, then post-trained onto specific robot hardware, and a real-time version runs at 10 FPS for live teleoperation, policy evaluation, and model-based planning. The author reports a +17% real-world success gain on a fruit packing task, and weights, code, datasets, and the whitepaper are released.

Feb 5

Feb 5Thu

Jan 26

Jan 26Mon
  1. BAAIAI score40

    BAAI RoboBrain 2.5 targets robot spatial and temporal reasoning gaps

    BAAI released RoboBrain 2.5, an embodied AI model that turns 2D scene understanding into actionable 3D trajectories and provides dense temporal value estimates for real-time progress feedback on long-horizon tasks. The post says it achieves SOTA across multiple spatial and temporal reasoning benchmarks, though it names no specific scores. Project page, paper, GitHub code, and model weights are linked.

Jan 22

Jan 22Thu
  1. BAAIAI score38

    BAAI releases RoboCOIN, a large bimanual robot manipulation dataset

    BAAI's RoboCOIN is a bimanual robot dataset with more than 180,000 trajectories across 421 tasks, collected from 15 robot platforms in 16 real-world scenarios. Its three-tier annotations at trajectory, segment, and frame levels help robots learn both what to do and how to do it. The post says integrating these annotations raised success rates on complex tasks by up to 50% for models such as π₀.