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对话逐际动力张巍:造机器人很容易,关键是用起来
具身智能之心· 2025-08-29 00:03
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].
对话逐际动力张巍:造机器人很容易,关键是用起来
量子位· 2025-08-28 06:46
Core Viewpoint - The company aims to create a platform for humanoid robots, enabling developers across various fields to build applications and products, similar to how NVIDIA serves as a foundational platform for innovation in gaming, automotive, and robotics [1][2]. Group 1: Company Vision and Development - The ultimate goal is to "make it easy for everyone to deploy robots" [5][69]. - The company focuses on developing bipedal humanoid robots that are functional, easy to program using natural language, and eventually aims to create an ecosystem akin to a "Windows" operating system for humanoid robots [6][104][152]. Group 2: Technical Insights - The hardware manufacturing of humanoid robots is relatively straightforward, but the challenge lies in developing the AI control systems, referred to as the "small brain" [3][32]. - Recent advancements in AI have made it possible to achieve better control of humanoid robots, which was previously a significant barrier [36][39]. Group 3: Market Positioning and Strategy - The company positions itself as a technology platform, providing foundational capabilities and tools for developers, rather than focusing solely on end-user applications [74][80]. - The pricing strategy for their humanoid robot, LimX Oli, is competitive at 158,000 yuan, significantly lower than some market estimates, aiming to make it accessible for developers [112][114]. Group 4: Future Directions and Challenges - The company anticipates that the widespread adoption of humanoid robots in households may take 7 to 10 years, with initial focus on B2B applications such as inspection, logistics, and education [138][140]. - The biggest challenges include synchronizing technological maturity, ecosystem development, and market acceptance [156].