中金：机器人大模型为具身智能破局关键 产业重心转向“小脑+大脑”系统研发

Group 1 - The core viewpoint is that large models for robotics are key to overcoming traditional control bottlenecks and advancing towards general embodied intelligence [1][2] - The industry is currently exploring development directions based on large language models, autonomous driving models, and multimodal models, shifting focus towards "small brain + big brain" system development [1][2] - Only a few companies with full-stack technical capabilities, resource integration advantages, and long-term strategic vision are expected to define the core standards of "embodied intelligence" in the future [1][4] Group 2 - Traditional robots exhibit strong specificity in tasks, scenarios, and data, leading to weak generalization capabilities and difficulty in complex environments [2] - Large language models, while mature in natural language processing, cannot directly address physical operation issues in robotics and face challenges in integration with robotic technologies [3] - The commercial paths of "hardware-first" and "model-first" each have their characteristics and advantages, with most companies likely focusing on specific verticals to achieve "general/flexible" applications [4]