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2026-07-17 具身智能行业日报

今天共发现 61 条候选线索,其中 5 条进入重点;主要集中在 VLA、开源模型与数据、机器人基础模型、行业动态。

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候选61
今日重点5
查询30
HTTP 请求32
验证正文59
Claims173

TOP SIGNALS

今日重点

  1. Scaling Behavior Foundation Model for Humanoid Robots

    arXiv Robotics · 机器人基础模型

    In this work, we revisit the scaling recipe for BFMs and demonstrate that substantial performance gains can be achieved through the coordination of three core components: 1) the learning paradigm of motion tracking that reformulates diverse humanoid control problems as the reproduction of integrated whole-body behaviors in the global frame; 2) the strategic synergy between on-policy rollout quantity and reference motion diversity; and 3) the expressive and scalable model architecture termed Humanoid Transformer that facilitates the natural emergence of structured behavioral representations.

  2. Hugging Face model lerobot/pi052_robocasa

    Hugging Face LeRobot Models · 开源模型与数据

    Tags: lerobot, safetensors, robotics, pi052, dataset:pepijn223/robocasa_pretrain_human300_v4_annotated5, license:apache-2.0, region:us

    持续线索:第 2 次进入日报,首次出现 2026-07-16

  3. CosFly-VLA: A Spatially Aware Vision-Language-Action Model for UAV Tracking

    Stanford Robotics · VLA

    Relative to OpenVLA, CosFly-VLA-0.8B reduces open-loop Average Displacement Error (ADE) by 34.1% on seen-test and 35.3% on unseen-test.

  4. DriftWorld: Fast World Modeling through Drifting

    arXiv Robotics · 行业动态

    Rather than denoising iteratively at inference, DriftWorld learns an action-conditioned drift during training, allowing it to generate future frames from the current observation and a candidate action sequence in a single forward pass at 30+ fps, which is 17x faster on average than diffusion based baselines.

  5. AeroAct: Action-Centered World-Action Models for Language-Conditioned Quadrotor Flight

    NVIDIA · 行业动态

    To obtain aligned visual, state, language, and dynamically feasible action data, we build a DiffAero-based pipeline with complementary Isaac Lab and 3D Gaussian splatting renderers.

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