UC Berkeley Ken Goldberg 教授：具身数据规模落后十万年，你仍然相信数据万能吗？| ICRA 2026
Quick Answer
Professor Ken Goldberg from UC Berkeley highlights the disparity in embodied data, stating it lags by 100,000 years despite billions in investment in the embodied intelligence sector.
Quick Take
Professor Ken Goldberg from UC Berkeley highlights the disparity in embodied data, stating it lags by 100,000 years despite billions in investment in the embodied intelligence sector. The effectiveness of robots remains minimal, raising questions about the reliability of data-centric approaches like VLA and model-free solutions.
Key Points
- Billions in funding have not translated into effective robot performance.
- Embodied data is said to be 100,000 years behind current needs.
- Questions arise about the efficacy of model-free approaches like VLA.
- The pressure for tangible results in robotics is increasing.
- Minimal effective work completed by robots raises concerns.
Article Excerpt
From source RSS / original summary雷峰网(公众号：雷峰网)讯数以十亿计的资金涌入具身智能行业，与此同时，这些机器人真正完成的有效工作却屈指可数。 落地压力的迫近之下，VLA 等无模型方案
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