自变量机器人：端到端基础模型，押注通用机器人未来

Core Insights - A Shenzhen-based startup, Zivariable Robotics, has raised over 2 billion RMB in less than a year and a half, backed by major investors like Alibaba and Meituan, with a vision to bring general-purpose robots into households [1][17]. Group 1: Company Overview - Zivariable Robotics was founded by Wang Qian, a Tsinghua University graduate, who has a strong background in neural networks and robotics [2][3]. - The company has completed 7 rounds of financing, with a total amount exceeding 2 billion RMB, positioning itself as a leading player in the embodied intelligence sector [17][19]. Group 2: Technology and Innovation - The company adopts a unique technology path with an "end-to-end large model" approach, which integrates perception, planning, and control into a single model, contrasting with traditional layered architectures [8]. - The WALL-A model, developed by Zivariable, showcases significant advancements, achieving a task success rate of over 95% for complex operations [9][10]. - The model demonstrates three major breakthroughs: multi-modal information fusion, zero-shot generalization capability, and significant progress in dynamic environment perception and real-time task planning [11]. Group 3: Data Strategy - Zivariable Robotics emphasizes high-quality real-world data collection, avoiding reliance on simulation data for complex physical interactions [4][12]. - The data collection strategy includes centralized data collection sites, distributed real-world environments, and data feedback from deployed robots [12]. Group 4: Market Position and Future Plans - The company aims to commercialize its technology by initially targeting B2B scenarios before expanding to B2C, with a focus on household robots [20]. - Wang Qian predicts that the household robot market could be larger than industrial applications, with a potential price point of around 100,000 RMB [20]. - Zivariable Robotics is actively building an ecosystem for embodied intelligence, planning to release an open-source foundational model to foster innovation in the field [22].