Wang Xingxing says embodied AI needs 1–3 years to solve final millimeter alignment before ChatGPT moment
王兴兴最新判断：具身智能距离“ChatGPT 时刻”还差最后几毫米
At the 2026 World Internet Conference, Geeks' Robotics founder Wang Xingxing stated that embodied AI is near a "ChatGPT moment" but requires 1–3 years to resolve physical-world alignment issues like fine motor tasks. He noted industrial robots currently succeed in fixed stations with high accuracy but lack generalization across arbitrary scenarios. The company expects significant improvements next year as models approach handling 80% of tasks in unfamiliar settings via voice or text commands.
Source: Robotics — Chinese web discovery · Read original article ↗
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What the source reports
Publisher-reported claims, with original evidence. These results have not been independently verified by RoboSignal.
Reported numbers
Reported success rate
100%
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在工业场景，王兴兴表示，机器人进工厂干活已在推进，目前单工序、固定工位工作，AI模型训练好后成功率可接近100%，但效率还需提升。
Open source S7years
1–3
years
10
days
30
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Open source S18
- paper: not_reported
What remains unknown
Not established in the collected evidence: Environment, Control, Data origin.
Reported performance applies to the described task. It does not establish general autonomy or deployment readiness.
Source excerpts and review record
Automatically extracted; no manual editorial approval recorded.
” 王兴兴去年提出，具身智能很快迎来“ChatGPT时刻”，也就是说，在80%的陌生场景中，机器人可通过语音或文字指令顺利完成约80%的任务。
Open source S10
在工业场景，王兴兴表示，机器人进工厂干活已在推进，目前单工序、固定工位工作，AI模型训练好后成功率可接近100%，但效率还需提升。
Open source S7
王兴兴介绍，宇树机器人在国际市场已颇受关注，过去几年年均近 50% 的机器人出口海外。
Open source S15
具身智能已非常接近“ChatGPT时刻”，但物理世界“最后几毫米”的对齐问题仍需1至3年突破。
Open source S3
在互联网企业家论坛上，王兴兴说，宇树科技成立10年，最早做高性能四足机器人，近年做人形机器人。
Open source S5
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Open source S18
Source：Robotics — Chinese web discovery · news.bjd.com.cn