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中文(ZH) 没有全科优秀,具身模型别想进入百万小时

RoboDojo benchmark reveals embodied AI's memory gap, Yuanli Lingji leads

A new benchmark called RoboDojo, developed by researchers from top institutions including Hong Kong University, aims to rigorously test embodied AI models across various tasks. Early results show current models struggle significantly, with average success rates far below human performance, particularly in complex reasoning and long-term memory tasks. However, a Chinese company, Yuanli Lingji, has achieved top rankings with its DM0.5 model, demonstrating strong performance in memory-intensive tasks and overall success rates, suggesting a path forward for more capable embodied AI. AI

IMPACT Highlights the critical need for memory and long-term reasoning in embodied AI, potentially accelerating development in robotics and autonomous systems.

RANK_REASON The cluster discusses a new benchmark for embodied AI models and the performance of specific models on it, fitting the research category. [lever_c_demoted from research: ic=1 ai=1.0]

Read on 雷峰网 (Leiphone) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

RoboDojo benchmark reveals embodied AI's memory gap, Yuanli Lingji leads

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The cluster discusses a new benchmark for embodied AI models and the performance of specific models on it, fitting the research category. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. 雷峰网 (Leiphone) TIER_1 中文(ZH) ·

    Without all-around excellence, embodied models cannot enter millions of hours

    <section style="text-align: center; margin: 0px 16px; line-height: 1.75em; display: block;"><img class="rich_pages wxw-img" src="https://static.leiphone.com/uploads/new/images/20260831/6a95447373c0a.png?imageMogr2/quality/90" style="width: 100%; display: inline-block; text-align:…