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独家 | 乐聚发布垂域具身模型:一倍工业提效,两项榜单第一

Industry & News Embodied Robotics

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TL;DR - Leju Robotics introduced KUAVO VLA, an industrial vision-language-action model mid-trained on 600+ hours of robot data to reduce task-specific training and deployment costs. The company reports leading results against three general-purpose VLA models on a 25-task benchmark.

  • KUAVO VLA inserts an industrial-domain training stage between general VLA pretraining and task-specific post-training, encoding 100 common capabilities such as sorting,搬运, loading, and assembly.
  • Training uses real-world data exclusively from KUAVO robots, aiming to improve embodiment-specific control while avoiding interference from differing robot morphologies.
  • Across 20 custom industrial tasks and five GM100 tasks, KUAVO VLA achieved a 48.27% task success rate and a 74.51% process score, ranking first on both metrics.
  • Leju says the model can roughly double development efficiency in several scenarios and reduce the data collection, training, and debugging required for new industrial skills.

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独家 | 乐聚发布垂域具身模型:一倍工业提效,两项榜单第一

雷峰网 (AI科技评论) 2026-08-27
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Providers: Hugging Face · N/A OpenAlex · N/A Publisher · N/A Semantic Scholar · N/A X · N/A Fetched 2026-09-26 14:18:03.435018 UTC

TL;DR - Leju Robotics introduced KUAVO VLA, an industrial vision-language-action model mid-trained on 600+ hours of robot data to reduce task-specific training and deployment costs. The company reports leading results against three general-purpose VLA models on a 25-task benchmark.

  • KUAVO VLA inserts an industrial-domain training stage between general VLA pretraining and task-specific post-training, encoding 100 common capabilities such as sorting,搬运, loading, and assembly.
  • Training uses real-world data exclusively from KUAVO robots, aiming to improve embodiment-specific control while avoiding interference from differing robot morphologies.
  • Across 20 custom industrial tasks and five GM100 tasks, KUAVO VLA achieved a 48.27% task success rate and a 74.51% process score, ranking first on both metrics.
  • Leju says the model can roughly double development efficiency in several scenarios and reduce the data collection, training, and debugging required for new industrial skills.
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