Core Insights - The launch of the "Longyue" (MindLoongGPT) generative humanoid robot motion model marks a significant advancement in China's capabilities in the field of embodied intelligence and motion control, positioning the country as a global leader in this area [1][3][4] Group 1: Model Development and Features - The Longyue model utilizes a "natural language-driven" approach, creating a complete loop from multimodal input to high-fidelity motion generation, thus revolutionizing traditional motion control paradigms [3] - The model allows users to generate actions simply by inputting commands or reference videos, breaking the reliance on specialized parameter adjustments and making it accessible to a broader audience [4] - The model aims to generate simulation-level actions to enhance the dataset for embodied intelligence, especially in scenarios where data collection is challenging [3][4] Group 2: Data Challenges and Solutions - The development of embodied intelligence faces significant challenges in ensuring both the quantity and quality of data, with the complexity of environments for humanoid robots being much higher than that for autonomous vehicles [5][6] - The China Academy of Information and Communications Technology (CAICT) and the National and Local Joint Innovation Center are working together to establish quality standards for embodied intelligence data, focusing on the entire data lifecycle from collection to usage [6] - The goal is to create a comprehensive data ecosystem with seven quality evaluation indicators, including completeness, consistency, diversity, authenticity, usability, practicality, and scalability [6] Group 3: Future Directions and Infrastructure - The National and Local Joint Innovation Center aims to enhance the operational accuracy of their humanoid intelligence model from approximately 70%-80% to 90% by the end of the year, targeting a data volume in the petabyte range [8] - The "Ge Wu-Zhi Zhi" general embodied intelligence development platform integrates core software frameworks to facilitate rapid development and promote an ecosystem approach to humanoid robot development [8] - The establishment of a one-stop development infrastructure at the Qilin training ground supports data collection from over 100 heterogeneous robots, providing robust data support for future model training [8][9]

2025年5月29日，由国家地方共建人形机器人创新中心（以下简称"国地中心"）和上海张江（集团）有限公 司共同主办的2025张江具身智能开发者大会暨张江人形机器人创新创业大赛将在上海浦东新区盛大举行。 本次活动将汇集200余家人形机器人、具身智能和产业链头部企业，吸引1000余位知名院士、专家、企业领 袖及开发者，共同探讨人形机器人产业的技术突破与商业落地路径。这是一场真正意义上的行业顶级盛会， 以"峰会+大赛+展览"三位一体的模式，全方位展示人形机器人技术与产业的最新进展。 在 本 次 大 会 上 ， 国 地 中 心 将 联 合 复 旦 大 学 正 式 发 布 全 球 首 款 生 成 式 人 形 机 器 人 运 动 大 模 型 —— " 龙 跃"（MindLoongGPT） ，此举将标志着我国在智能体运动控制领域迈入全球领先行列。 ▍ "龙跃"MindLoongGPT：生成式机器人运动大模型的革命性突破 ■ 从实验室到产业应用，重新定义人机交互 人形机器人如何像人类一样自然运动？如何通过语言指令让机器人理解并执行复杂动作？这一直是行业亟待突 破的技术瓶颈。国地中心联合复旦大学未来信息创新学院研发的 龙跃Mi ...