AI竞争近白热化，中国智能产品出海方兴未艾。 1月6日—9日，2026年国际消费电子展（CES 2026）在美国拉斯维加斯举办。随着展会开幕，场内的人 形机器人展示、智能产品互动，展馆外的无人驾驶出租车体验，都使参展者目不暇接。 "物理AI"成关键词 CES 2026，AI成为绝对主线。行业对AI技术的探讨集中于"如何让AI向物理世界延伸"。 英伟达CEO黄仁勋在其演讲中提到，当前，AI行业已迎来拐点，AI更智能、具备推理能力，且应用范 围更广，因此实用性大幅提升。他提到，英伟达的开源物理AI模型"Cosmos"的下载量已达到百万 次，"助力世界为物理AI的新时代做好准备"。 AMD在展会上发布了包括MI455X GPU AI芯片、Ryzen AI 400系列处理器、AMD Ryzen AI Max+系列处 理器、AI开发平台Ryzen AI Halo等多款新品。AMD CEO苏姿丰表示，计划在2027年推出MI500系列芯 片，该芯片架构将采用2纳米工艺，有望在未来4年内将AI性能芯片提升1000倍。 高通发布了高通跃龙IQ10系列，是面向工业级自主移动机器人（AMR）和先进的全尺寸人形机器人打 造的最新高 ...

Core Viewpoint - The article highlights the launch of the X-Humanoid training toolchain by Beijing Humanoid Robotics Innovation Center, aimed at enhancing the efficiency of using the RoboMIND dataset and the "Tiangong" humanoid robots for developers in the field of embodied intelligence [1][2][6]. Group 1: RoboMIND Dataset and "Tiangong" Robots - The RoboMIND dataset features over 100,000 trajectories and 479 cross-scenario tasks, making it one of the most downloaded datasets on platforms like HuggingFace [1]. - The "Tiangong" humanoid robots serve as an optimal hardware platform for developers to validate embodied intelligence algorithms through open-source URDF models and ROS control stacks [1]. - The need for a seamless conversion between RoboMIND data formats and mainstream training frameworks has been identified, leading to the development of the X-Humanoid training toolchain [1][2]. Group 2: X-Humanoid Training Toolchain - The X-Humanoid training toolchain is designed to facilitate efficient data usage and robot development, addressing the high adaptation costs due to diverse data sources and formats [2]. - It integrates different frameworks and hardware resources, providing a unified development interface that simplifies the development process [2]. - The toolchain allows users to convert datasets into the LeRobot format and provides a comprehensive guide for developers to efficiently manage the data preprocessing and model training processes [6][9]. Group 3: Future Developments and Community Engagement - The X-Humanoid training toolchain will continue to evolve, supporting more advanced algorithms and enhancing the operational capabilities of the "Tiangong" robots in diverse scenarios [6]. - The company emphasizes its commitment to open-source culture and ecosystem development, aiming to lower development barriers and stimulate innovation in the field of embodied intelligence robotics [7]. - Developers are encouraged to join the community to discuss and promote innovations in embodied intelligence robotics technology [7][8].