从 Gen0 的精细操作到 RTC 的持续工作，具身智能 Just needs execution？

Group 1 - The article discusses the advancements in embodied intelligence, highlighting the need for execution in humanoid robots to effectively serve humans, despite significant training hours and scaling laws [1][5] - It emphasizes the rapid improvement in humanoid robots' capabilities, such as parkour, dancing, and basketball, while noting the lack of real-world deployment in service roles [6][7] - The article mentions that the number of humanoid robot companies and funding is increasing, but skepticism remains regarding their market integration [6][7] Group 2 - Morgan Stanley estimates that by 2050, the number of humanoid robots could exceed 1 billion, creating a market valued at $5 trillion, although achieving this goal is uncertain [7] - The article points out that the future focus may shift towards deploying fewer robots capable of performing multiple tasks rather than many robots for single tasks [8] - Despite challenges in large-scale commercial deployment, significant technical progress has been made in areas such as fine manipulation, long-range tasks, and continuous operation [8][9] Group 3 - The article highlights the achievements in fine manipulation, with DexterityGen demonstrating a 10-100 times improvement in stability for robotic hands using reinforcement learning [9] - The Generalist AI Gen0 model, trained for 270,000 hours, showcases a wide range of operational skills applicable across different robotic platforms [9]