從取物到工廠：為何人形機器人的自主性終於趕了上來
機器人專家詳述具身人工智能如何在非結構化環境中實現複雜物理任務，標誌著從靜態工業臂向適應性通用工人的轉變。
leading robotics figures highlighted the critical role of multimodal foundation models in advancing 'embodied ai,' enabling robots to process sensory data and execute physical actions with greater adaptability. unlike traditional automation that relies on hard-coded rules for specific movements, these new systems can generalize learned behaviors to novel scenarios, reducing the engineering overhead for new deployments. this technological leap is driving investment and development toward robots capable of operating safely and effectively in dynamic settings like workplaces and eventually homes. as these systems mature, the industry anticipates a transition from single-purpose industrial machines to versatile autonomous assistants that can collaborate with humans.