Core Viewpoint - The article discusses the vision and mission of Zhujidi Power, a company focused on embodied intelligence robotics, aiming to make robots easier to deploy and use in various applications [2][7]. Group 1: Company Overview - Zhujidi Power aims to be a platform for robotics, similar to Nvidia, enabling developers across different fields to create applications and products [3][4]. - The founder, Zhang Wei, emphasizes that while hardware manufacturing for humanoid robots is relatively easy, the real challenge lies in developing the AI capabilities that control them [5][34]. - The company's goal is to create a humanoid robot that is functional, easy to program, and part of a larger ecosystem, akin to a Windows operating system for robots [8][106]. Group 2: Technological Development - The company has made significant advancements in AI-driven control systems, which are crucial for the operation of humanoid robots [39][41]. - Zhang Wei notes that the AI capabilities for controlling robots have matured recently, allowing for more effective movement and task execution [38][40]. - The focus is on developing a robust "small brain" AI that can handle complex tasks, which is seen as a key differentiator in the industry [26][53]. Group 3: Market Positioning and Strategy - Zhujidi Power positions itself as a technology platform that provides foundational capabilities and tools for developers, rather than competing directly in every market segment [76][78]. - The company aims to lower the barriers for developers by reducing hardware costs and providing user-friendly software tools, allowing them to focus on business logic rather than technical complexities [82][84]. - The pricing strategy for their humanoid robot, LimX Oli, is competitive, with a focus on delivering value while ensuring sustainability in operations [114][120]. Group 4: Future Goals and Challenges - The company plans to enhance the usability of its humanoid robots, making them more accessible for programming and integration into various applications [151][152]. - Zhang Wei identifies the biggest challenges as synchronizing technological maturity, ecosystem development, and market acceptance [158]. - The long-term vision includes creating an application ecosystem for their robots, enabling users to easily deploy various functionalities [112][154].