美团独家投资A轮，「自变量机器人」连续完成两轮数亿元融资｜早起看早期

Core Viewpoint - The article discusses the emergence of embodied intelligence and the significant advancements in robotics, particularly focusing on the company "X Square Robot" and its recent funding achievements [4][5]. Group 1: Company Overview - X Square Robot was established in December 2023 and has completed seven rounds of financing within a year and a half, raising over 1 billion yuan [5]. - The company focuses on developing a "general embodied large model" using real-world data to create robots with fine operational capabilities [5]. - X Square Robot is one of the first companies in China to adopt a fully end-to-end approach to achieve a general embodied intelligence large model [5]. Group 2: Funding and Financials - Recently, X Square Robot completed a Series A financing round led by Meituan's strategic investment, with additional participation from Meituan Longzhu, raising several hundred million yuan [4]. - Prior to this, the company had disclosed a Series Pre-A++ financing round led by Guangming Capital and Junlian Capital, also amounting to several hundred million yuan [4]. Group 3: Technological Advancements - The company has developed the "Great Wall" series of operational large models, specifically the "WALL-A" model, which integrates multimodal information and demonstrates zero-shot generalization capabilities in new task scenarios [5][6]. - X Square Robot has established a model-driven data closed-loop system, enhancing data quality control and collection efficiency through self-developed data processing models and devices [6]. - The company has made breakthroughs in multimodal output and embodied thinking chains, improving the robot's decision-making and execution efficiency in complex environments [6]. Group 4: Team and Expertise - The core team of X Square Robot includes experts from renowned AI and robotics laboratories, as well as scholars from top universities, contributing to the innovation and development of embodied intelligence and robotics technology [7]. - Notable team members include researchers who were among the first to propose the attention mechanism and experts in the field of robotics hardware [7].