智元彭志辉最新分享：具身智能进入「部署态」元年，坚持“沿途下蛋”策略

Core Viewpoint - The entire embodied intelligence industry is still in a phase of exploration, with no single company able to provide the correct answers alone. Collaboration is essential to overcome bottlenecks and achieve practical deployment [3]. Industry Status - According to the Ministry of Industry and Information Technology, there are over 140 humanoid robot companies in China, with 330 products released. The industry has transitioned from laboratory demonstrations to engineering and scenario-based competition [3]. - The focus has shifted from basic mobility to advanced capabilities, with robots now able to perform complex tasks, indicating that the industry is moving towards practical application [3]. Engineering Paradigm - The company has developed a practical engineering paradigm called "One Body, Three Intelligences." The "One Body" refers to the robot's physical structure, which requires a comprehensive approach to reliability, supply chain, and safety engineering [4]. - Core components like joints and dexterous hands are critical for the robot's operational capabilities and account for a significant portion of the overall cost. The company has standardized its product lines to eight series of joints to enhance efficiency [4]. AI Integration - AI is considered the "soul" of the robot, categorized into three dimensions: movement, interaction, and operation. The company has launched the "Lingchuang Platform" to simplify the action training process, making it accessible for users to deploy robots easily [4]. Open Ecosystem - The company is building an open and shared ecosystem by open-sourcing its operating system, Lingqu OS, and releasing the largest real machine dataset in the industry. This aims to create a positive cycle of capability reuse, data feedback, and model evolution [5]. Scene Deployment Strategy - The company employs a "laying eggs along the way" strategy, focusing on performing complex tasks in simple environments, such as structured factory settings. This contrasts with autonomous driving, which operates in complex environments with simpler tasks [7]. - The company has applied humanoid robots in eight typical scenarios, including entertainment, industrial manufacturing, logistics sorting, and security inspection, emphasizing the importance of real-world applications for reliability and system iteration [8]. Rationale for Humanoid Robots - The underlying logic for pursuing humanoid robots is that they serve as a universal interface in the physical world, similar to how computers interface with the digital world. The design of the physical environment is tailored to human bodies, suggesting that AI's most compatible form will likely resemble humans [8]. Call for Standardization - The company advocates for the establishment of a standard system within the industry, emphasizing that the key to scaling physical AI lies in data loops, reliability engineering, and standardized operational capabilities. Sharing data governance methods and operational experiences is crucial for accelerating the systematic deployment of physical AI [9].