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斜跃智能完成数亿元天使+轮融资,加速推进Duplex Reasoning全新范式具身基础模型

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TL;DR - Chinese embodied-AI startup Xieyue Intelligence raised several hundred million yuan in an angel+ round to develop household robots powered by its “Duplex Reasoning” foundation-model paradigm. The approach matters because it integrates continuous human interaction, environmental feedback, planning, and physical action rather than treating robot tasks as fixed command-execution sequences.

  • Duplex Reasoning is designed to make household robots interruptible, correctable, controllable, and able to adjust goals while executing tasks.
  • Its architecture combines a vision-language-action backbone with world-model predictions to improve long-horizon planning and cross-environment generalization at controlled compute cost.
  • The company is building reusable pretraining, post-training, and reinforcement-learning infrastructure alongside high-quality, first-person robotic data pipelines and evaluation/simulation loops.
  • It plans to validate laundry, organization, cleaning, and similar tasks in hotels and eldercare facilities before moving into homes.

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斜跃智能完成数亿元天使+轮融资,加速推进Duplex Reasoning全新范式具身基础模型

雷峰网 (AI科技评论) 2026-09-13
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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 14:16:02.675685 UTC

TL;DR - Chinese embodied-AI startup Xieyue Intelligence raised several hundred million yuan in an angel+ round to develop household robots powered by its “Duplex Reasoning” foundation-model paradigm. The approach matters because it integrates continuous human interaction, environmental feedback, planning, and physical action rather than treating robot tasks as fixed command-execution sequences.

  • Duplex Reasoning is designed to make household robots interruptible, correctable, controllable, and able to adjust goals while executing tasks.
  • Its architecture combines a vision-language-action backbone with world-model predictions to improve long-horizon planning and cross-environment generalization at controlled compute cost.
  • The company is building reusable pretraining, post-training, and reinforcement-learning infrastructure alongside high-quality, first-person robotic data pipelines and evaluation/simulation loops.
  • It plans to validate laundry, organization, cleaning, and similar tasks in hotels and eldercare facilities before moving into homes.
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