银河通用王鹤最新演讲：要善于运用合成数据，加速推动人形机器人新质生产力的大规模应用

Group 1 - The year 2025 is significant for entrepreneurs in humanoid robots and embodied intelligence, with continuous product iterations and increased investor interest in startups [1] - Wang He, a key figure in the field, emphasizes that the development of embodied intelligence is crucial for humanoid robots to generate new productive capabilities [9][15] - The industry is currently facing challenges, including a lack of sufficient data for training models, which is a major bottleneck for the large-scale application of humanoid robots [7][20] Group 2 - The VLA (Vision-Language-Action) model represents a new trend in the integration of embodied intelligence and large models, allowing robots to autonomously understand commands and execute tasks [6][17] - The humanoid robot industry is compared to the automotive industry, highlighting the disparity in production volumes and the challenges of data collection for training [8][18] - The current data requirements for effective training are estimated to be in the hundreds of billions, while existing datasets are significantly smaller, creating a substantial gap [20][21] Group 3 - Chinese companies have the opportunity to lead in the humanoid robot sector by utilizing synthetic data for training, rather than relying solely on real-world data [21] - The approach involves generating extensive synthetic data for reinforcement learning, which can enhance the efficiency and generalization of embodied models [22] - The company has developed the world's first humanoid robot retail solution, demonstrating the practical application of its technology in real-world scenarios [23] Group 4 - The company has successfully completed multiple rounds of financing, raising a total of 2.4 billion RMB, indicating strong investor confidence in its technology and market potential [25] - The company aims to leverage its leading technology to define industry standards and drive the sector towards a productive era for humanoid robots [26]