2026香港秋季电子产品展现场，具身智能成为科技领域关注焦点之一。其中，杭州米果智能机器人有限公司携AI智能生命体migo one pro亮相展会，以情感陪伴型机器人的创新方向吸引大量观众关注。在展会现场，migo展台持续迎来专业买家、科技爱好者以及普通消费者体验互动。与传统机器人不同，migo并非单纯强调机械能力，而是试图探索机器人与人之间更深层次的情感连接。
At the 2026 Hong Kong Electronics Fair, embodied intelligence became one of the tech sector's focal points. Among them, Hangzhou Miguo Intelligent Robotics Co., Ltd. brought its AI intelligent lifeform migo one pro to the exhibition, attracting large audiences with the innovative direction of "emotional companion robot." At the booth, migo continuously received professional buyers, tech enthusiasts, and ordinary consumers for interactive experiences. Unlike traditional robots, migo does not simply emphasize mechanical capability but attempts to explore deeper emotional connections between robots and humans.
过去，智能设备的发展逻辑更多围绕性能提升展开。从手机到智能家居，行业不断追求更快、更强、更高效。但随着AI技术快速发展，消费者对于智能产品的需求正在发生变化。未来的智能设备，是否能够理解用户情绪，是否能够形成长期互动，是否能够成为生活中的陪伴者，成为机器人产业探索的新方向。migo one pro正尝试回答这一问题。通过AI交互技术、情感反馈系统以及长期陪伴机制，米果智能更希望让机器人从简单执行指令的工具，升级为能够交流、回应并产生互动关系的AI智能生命体。
Previously, smart device development logic revolved more around performance improvement. From phones to smart homes, the industry continuously pursued faster, stronger, more efficient. But with rapid AI development, consumer demand for smart products is changing. Whether future smart devices can understand user emotions, form long-term interactions, and become companions in life has become a new direction for robot industry exploration. migo one pro attempts to answer this question. Through AI interaction technology, emotional feedback systems, and long-term companionship mechanisms, Miguo Intelligent hopes to upgrade robots from simple instruction-executing tools to AI intelligent lifeforms capable of communication, response, and interactive relationships.
陪伴机器人这个方向，和前面讨论的家庭机器人有交集，也有区别。前面讨论过优必选U1系列聚焦家庭陪伴，面部可呈现30余种微表情，能够实时与人交互、感知情绪。也讨论过欧拉万象从家庭场景切入，目标是让机器人在真实生活中持续学习。米果智能的migo选择的是情感陪伴这个更窄的方向，不强调家务劳动，不强调移动能力，重点放在AI交互和情感反馈上。这个定位和前面讨论的万元级人形机器人在市场上实际扮演的角色是一致的，那些买家用万元级机器人做的事情，主要就是对话、互动、拍摄短视频，而不是做家务。米果智能直接承认这一点，把情感陪伴作为核心卖点，而不是把机器人包装成家政工具。
The companion robot direction intersects with and differs from the home robots discussed earlier. Earlier we discussed UBTECH's U1 series focusing on home companionship, with faces displaying over 30 micro-expressions, capable of real-time interaction and emotion perception. We also discussed Ola Universe entering from home scenarios, aiming to let robots continuously learn in real life. Miguo Intelligent's migo chooses the narrower direction of emotional companionship, not emphasizing housework or mobility, focusing on AI interaction and emotional feedback. This positioning aligns with the actual role ten-thousand-yuan humanoid robots play in the market—what those buyers do with them is mainly conversation, interaction, and shooting short videos, not housework. Miguo Intelligent directly acknowledges this, making emotional companionship the core selling point rather than packaging robots as domestic tools.
但这个方向也面临前面讨论过的伦理和法律问题。董重青在工博会上提出，机器人进家庭的最大障碍在法律法规伦理层面，情绪本身带风险，满足情绪价值更难。一个能理解用户情绪、形成长期互动的陪伴机器人，会采集大量用户的情绪数据、对话数据、生活习惯数据。这些数据怎么保护，机器人对用户情绪的回应如果造成伤害谁负责，长期陪伴机制会不会让用户对机器人产生过度依赖，这些问题目前都没有明确的答案。米果智能把情感陪伴作为核心卖点，等于主动进入了这个还没有明确规则的领域。它能走多远，不取决于技术，而取决于这些伦理和法律问题能不能找到让用户、厂商和监管方都接受的答案。
But this direction also faces the ethical and legal problems discussed earlier. Dong Zhongqing proposed at the Industry Fair that the biggest obstacle to robots entering homes is at the legal, regulatory, and ethical level—emotion itself carries risk, and satisfying emotional value is harder. A companion robot that can understand user emotions and form long-term interactions will collect large amounts of user emotional data, conversation data, and lifestyle data. How to protect this data, who is responsible if the robot's responses to user emotions cause harm, whether long-term companionship mechanisms will cause users to become overly dependent on robots—these questions currently have no clear answers. Miguo Intelligent making emotional companionship its core selling point means actively entering a field without clear rules. How far it can go depends not on technology but on whether these ethical and legal questions can find answers acceptable to users, manufacturers, and regulators.
