Core Viewpoint - GR-3, developed by ByteDance, is a large-scale visual-language-action (VLA) model designed to advance general robotics strategies, demonstrating exceptional capabilities in generalization, efficient fine-tuning, and execution of complex tasks [2][7]. Group 1: Performance and Advantages - GR-3 excels in generating action sequences for dual-arm mobile robots based on natural language instructions and environmental observations, outperforming current advanced baseline methods [2][7]. - The model's architecture includes a total of 4 billion parameters, balancing performance and efficiency by optimizing the action generation module [10][12]. Group 2: Core Capabilities and Innovations - GR-3 addresses three major pain points of traditional robots: inability to fully recognize, learn quickly, and perform tasks effectively [7]. - It features a dual-path design combining data-driven approaches with architectural optimization, enabling it to understand abstract instructions and perform precise operations [7][12]. - Key innovations include enhanced generalization capabilities, efficient adaptation with minimal human demonstration data, and stable performance in long-duration and intricate tasks [12][14]. Group 3: Training Methodology - The training strategy employs a "trinity" approach, integrating robot trajectories, visual-language data, and human demonstrations for progressive learning [15][19]. - The model's ability to recognize new objects improved by approximately 40% through joint training with vast internet visual-language datasets [19][23]. Group 4: Hardware Integration - The ByteMini robot, designed for GR-3, features a flexible 7-degree-of-freedom arm and a stable omnidirectional base, enhancing its operational capabilities in various environments [25][26]. - The robot can autonomously generate task combinations and control environmental variables, ensuring effective task execution [21][25]. Group 5: Experimental Validation - GR-3 was tested in three challenging tasks, demonstrating strong adaptability to new environments and abstract instructions with a success rate of 77.1% for understanding new directives [30][38]. - In a long-duration task, GR-3 maintained a success rate of 89% in executing multi-step actions, significantly outperforming previous models [42].

目前，西方世界措手不及：韩国和⽇本面临出生率危机，其制造能力陷入困境； 欧洲⼯业部门正被中国取代，且自身无法产生动力；而美国则专注于其他 市场及获取海外廉价生产，与此同时，中国的制造能力⽇益增强，机器⼈技术也正蓬勃发展。 图片来源： SemiAnalysis 中国机器⼈本土化进程正在顺利推进。本土企业正在占领全球最大市场，市场份额接近 50% ，而 2020 年仅为 30% 。虽然中国制造商目前在低端市场与西 方巨头并驾齐驱，但我们的供应链审查使我们相信，本土企业正开始接管高端市场。 宇树 的崛起体现了这一转变：市场上唯一可行的⼈形机器⼈宇树 G1 现已完全摆脱了美国组件。 图片来源： SemiAnalysis 行动的号角已经吹响：美国与西方在机器⼈技术革命浪潮中的抉择 在当今时代，行动的号角已经吹响，这关乎着美国以及整个西方世界的未来走向。 我们正站在⼯业社会非线性变革的初期临界点上，一场前所未有的技术 革命浪潮正席卷而来，而美国所立足的根基却在风雨中摇摆不定。 自动化与机器⼈技术正以惊⼈的速度掀起一场深刻的革命，这场革命将彻底改变所有制造业及关键任务行业的面貌，实现全面自动化。这些智能机器⼈系 统，它们不 ...