Core Insights - The core focus of the article is on the rapid development and innovative approach of Galaxy Robotics, founded by Wang He, which recently showcased its capabilities on the CCTV Spring Festival Gala, emphasizing its AI-driven technology rather than traditional robotic performances [4][20]. Company Overview - Galaxy Robotics was founded in 2023 and is headquartered in Haidian, Beijing. The company completed a financing round of over $300 million in December, achieving a post-investment valuation of nearly 21 billion yuan [4][20]. - The founders, Wang He and Yao Tengzhou, bring complementary skills to the company, with Wang He being an academic and Yao Tengzhou having extensive manufacturing experience [5][6]. Technology and Innovation - The company utilizes a "wheel-based chassis + folding leg" design for its robots, prioritizing stability, cost control, and practical commercial applications over flashy performances [8]. - Galaxy Robotics has developed a self-research VLA (Vision Language Action) embodied model and a unique training system that emphasizes simulation over real-world data collection, which is crucial for the development of robotic capabilities [13][19]. - The company has built a "hundred billion-level robot work data set" over three years, which aids in training robots for various tasks [17]. Market Applications - Galaxy Robotics aims to deploy its robots in retail environments, where the demand for labor is high and the margin for error is relatively forgiving. The robots are expected to operate with a 99% accuracy rate [21][23]. - The company has introduced retail space capsules, with robots acting as "smart clerks" to handle customer interactions and deliveries, already deployed in various locations across major cities [23]. - Additionally, the company has developed a dexterous hand model, DexNDM, which allows robots to perform precise tasks in manufacturing settings, with orders already secured from major industrial players [23]. Future Outlook - The development of embodied intelligence is seen as a gradual process, with the company focusing on data accumulation and model deployment before hardware upgrades can take place [26]. - The year 2026 is anticipated to be a significant milestone for the industry, with leading players setting ambitious delivery targets [26].