Core Viewpoint - The article discusses the skepticism of Wang Xingxing, CEO of Yushu, regarding the VLA (Vision-Language-Action) model, suggesting that the robotics industry is overly focused on data while lacking sufficient embodied intelligence in AI [3][4]. Group 1: Challenges in Robotics - The traditional robotics industry faces three core challenges: perception limitations, decision-making gaps, and generalization bottlenecks [6][7]. - Current robots often rely on preset rules for task execution, making it difficult to understand complex and dynamic environments [6]. - In multi-task switching, traditional robots frequently require human intervention for reprogramming or strategy adjustments [6]. - Robots need extensive retraining and debugging when confronted with new tasks or scenarios [6]. Group 2: Need for Model Reconstruction - There is a call within the industry to reconstruct the VLA model and seek new paradigms for embodied intelligence [5][7]. - Jiang Lei emphasizes the need for a complete system that integrates both hardware and software, rather than merely relying on large language models [6]. - The current research landscape is fragmented, with large language model researchers focusing solely on language, while edge intelligence concentrates on smaller models [6]. Group 3: Future Directions - Jiang Lei proposes exploring cloud and edge computing collaboration to create a comprehensive deployment architecture for humanoid robots [6]. - The ideal "brain" model for humanoid robots should possess full parameter capabilities, while the "small brain" model deployed on the robot must achieve breakthroughs in size and real-time performance [6]. - The industry is optimistic about humanoid robots becoming a significant sector, with this year being referred to as the year of mass production for humanoid robots [7].
质疑VLA模型、AI完全不够用?有从业者隔空回应宇树王兴兴
第一财经·2025-08-11 14:51