Core Insights - The article discusses the challenges in the field of robotics, particularly the gap between simulation and real-world application, and introduces RoboChallenge.ai as a solution to create a standardized evaluation platform for embodied intelligence [2][42][51]. Group 1: Current Challenges in Robotics - Many models perform well in simulations but fail in real-world scenarios, highlighting a significant pain point in robotics research [2][42]. - The need for a unified, open, and reproducible evaluation system for robotics is emphasized, as current benchmarks are primarily based on simulations [50][44]. Group 2: Introduction of RoboChallenge.ai - RoboChallenge.ai is launched as an open, standardized platform for evaluating robotic models in real-world environments, allowing researchers to remotely test their models on physical robots [6][51]. - The platform enables users to control local models through an API, facilitating remote testing without the need to upload models [8][53]. Group 3: Importance of Open Source in Robotics - Open source is identified as a crucial driver for advancements in AI and robotics, enabling collaboration and innovation across global teams [10][19]. - The article argues that open source in robotics may be even more critical than in large language models (LLMs) due to the necessity of hardware accessibility for model application [20][22]. Group 4: Future Directions and Community Involvement - The article anticipates that the next three to five years will see significant evolution in embodied intelligence research, with robots capable of executing longer and more complex tasks [82]. - Community participation is encouraged, with the expectation that diverse contributions will enhance data availability and model robustness [66][68].

henry 发自 凹非寺 量子位 | 公众号 QbitAI "很多模型在模拟器里完美运行，但一到现实就彻底失灵。" 在最新一次线上对谈中，Dexmal联合创始人 唐文斌 与Hugging Face联合创始人 Thomas Wolf 指出了当前机器人研究的最大痛点。 唐文斌是旷视科技联合创始人兼CTO，原力灵机（Dexmal）CEO、清华大学"姚班"出身、首届"Yao Award"金牌得主。 针对当前痛点，他和团队联合Hugging Face推出了 RoboChallenge.ai ——一个 开放、统一、可复现的真实世界机器人评测平台。 RoboChallenge.ai首次让全球研究者在物理环境中远程测试模型，通过独创的 Remote Robot ，模型可留在本地，用户仅通过API就可以控 制真实机器人。 在这场对谈中，唐文斌和Thomas探讨了： 这是全球协作的产物，包括来自中国、美国、欧洲的团队。我认为，这正是推动重大进步的方式。 我也期待机器人领域会出现同样的情况——通过保持一个活跃的开源社区，我们能让更多团队理解当前的技术前沿，共同头脑风暴新的发展方 向。 接下来，我们一起来看。 Q：Hugging F ...