从机器人遥操作到具身智能：MANUS Metagloves Pro Haptic 如何让 AI 真正拥有双手

{"type":"doc","content":[{"type":"paragraph","attrs":{"id":"16540d41-489b-4dd6-86ce-aec5ddeb40f1","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"近年来，大模型（LLM）的快速发展，让人工智能拥有了越来越强的理解和推理能力。然而，对于机器人而言，仅仅会“思考”远远不够，它们还需要能够精准地完成抓取、装配、搬运、操作工具等复杂动作。"}]},{"type":"paragraph","attrs":{"id":"945789fa-9f9d-4439-994c-7ff02df2243d","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"因此，"},{"type":"text","marks":[{"type":"bold"}],"text":"具身智能（Embodied AI）"},{"type":"text","text":" 正逐渐成为 AI 发展的重要方向。"}]},{"type":"paragraph","attrs":{"id":"e9b69fc1-b41d-4ee6-a0f0-c0821430d9b8","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"在具身智能系统中，"手"是机器人与物理世界交互最重要的执行器，而如何高精度采集人类手部动作，并将这些动作实时映射到机器人，则成为整个系统中的关键技术之一。"}]},{"type":"paragraph","attrs":{"id":"934eee90-dcd1-4fa0-9150-45352b3a1057","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"MANUS 最新推出的 "},{"type":"text","marks":[{"type":"bold"}],"text":"Metagloves Pro Haptic"},{"type":"text","text":"，正是面向这一需求打造的一款高精度触觉数据手套，它不仅能够采集完整的人体手部运动数据，还能够通过实时触觉反馈，让操作者真正"感受到"机器人与环境之间的交互。"}]},{"type":"paragraph","attrs":{"id":"f48f62de-6d0d-4a80-be36-a3a31b8e0528","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"本文将从技术角度，解析这款产品为何越来越受到机器人、XR、数字孪生以及 AI 研究领域的关注。"}]},{"type":"horizontalRule","attrs":{"id":"dcd17e14-f192-40ab-af69-3ea5c8cd53e6","isHoverDragHandle":false}},{"type":"heading","attrs":{"id":"78f7a6ea-c1b5-4a62-b646-c32e6b94c1c9","textAlign":"inherit","indent":0,"level":2,"isHoverDragHandle":false},"content":[{"type":"text","text":"为什么传统手部追踪越来越难满足 AI 训练需求？"}]},{"type":"paragraph","attrs":{"id":"abc0c4d0-87e4-4f80-b257-0d4ba134f869","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"目前常见的手部追踪方案主要包括："}]},{"type":"bulletList","attrs":{"id":"4f16193a-f1d8-4ecb-b459-2510a3607cf7","isHoverDragHandle":false},"content":[{"type":"listItem","attrs":{"id":"59521ee4-41a5-43ae-8cfe-01993639bc7d"},"content":[{"type":"paragraph","attrs":{"id":"f05daed0-2643-4318-86ab-2af4fd9b56ce","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"光学动作捕捉（Optical Motion Capture）"}]}]},{"type":"listItem","attrs":{"id":"6e507f47-d202-4b10-a262-7b69c684d184"},"content":[{"type":"paragraph","attrs":{"id":"85a13906-3d6c-478d-847e-f500b5682236","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"摄像头视觉识别（Vision Tracking）"}]}]},{"type":"listItem","attrs":{"id":"51cd4a71-d03c-45c8-a331-c6f915a6b382"},"content":[{"type":"paragraph","attrs":{"id":"fa0a2f93-f8ef-443f-8c31-a8329902cfcd","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"IMU 惯性传感器"}]}]},{"type":"listItem","attrs":{"id":"f9e16e05-f699-43f7-b47e-7bf109da0f6f"},"content":[{"type":"paragraph","attrs":{"id":"efb67f29-fc7f-40df-b241-3b94a1325aa7","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"数据手套（Data Gloves）"}]}]}]},{"type":"paragraph","attrs":{"id":"f1187c83-f32d-4d40-8c25-0139045ffd1b","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"其中视觉方案虽然部署简单，但存在几个天然问题："}]},{"type":"bulletList","attrs":{"id":"87b4309b-45ee-42d4-b8ca-23b0f75c3795","isHoverDragHandle":false},"content":[{"type":"listItem","attrs":{"id":"01a389d7-66cf-452b-a103-ed901cd52f90"},"content":[{"type":"paragraph","attrs":{"id":"44977648-9f83-4f81-bca9-73535096ac9d","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"手指容易被遮挡"}]}]},{"type":"listItem","attrs":{"id":"05a62849-80d5-4113-9292-3f68462056b6"},"content":[{"type":"paragraph","attrs":{"id":"b8716fce-afe2-450f-bb78-f5528ac2049f","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"光照环境影响识别精度"}]}]},{"type":"listItem","attrs":{"id":"862b76ea-f46b-404a-a7ef-09399151b94d"},"content":[{"type":"paragraph","attrs":{"id":"709f74d5-38ad-4bbf-a203-d3d7a1bc51a7","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"长时间运行容易发生漂移"}]}]},{"type":"listItem","attrs":{"id":"f1f10bf5-29f9-4809-b584-23b7167fcdc1"},"content":[{"type":"paragraph","attrs":{"id":"9e9e83d7-fa35-4787-bfe5-ee2881793201","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"微小动作难以准确捕获"}]}]}]},{"type":"paragraph","attrs":{"id":"e9c03221-5237-4daf-adf6-1ec5e30a45e7","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"对于机器人训练而言，一个毫米级的位置误差，都可能导致抓取失败。"}]},{"type":"paragraph","attrs":{"id":"cac9829a-03db-4b60-b0ef-20c1e6425bbf","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"因此，越来越多的机器人实验室开始重新采用"},{"type":"text","marks":[{"type":"bold"}],"text":"高精度数据手套"},{"type":"text","text":"作为动作采集设备。"}]},{"type":"horizontalRule","attrs":{"id":"2d9a4ff5-98da-46b4-9e5d-101bb55ed9d6","isHoverDragHandle":false}},{"type":"heading","attrs":{"id":"6dcbc8f9-4f8b-4c36-8266-73553e8ad73c","textAlign":"inherit","indent":0,"level":1,"isHoverDragHandle":false},"content":[{"type":"text","text":"MANUS Metagloves Pro Haptic 的核心技术"}]},{"type":"paragraph","attrs":{"id":"28abccd1-bb2d-4bd4-a9c1-169576aa6c60","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"MANUS 在新一代 Metagloves Pro Haptic 上，并没有继续采用传统 IMU 方案，而是使用了自主研发的 "},{"type":"text","marks":[{"type":"bold"}],"text":"EMF（Electro Magnetic Field）电磁定位技术"},{"type":"text","text":"。"}]},{"type":"paragraph","attrs":{"id":"c4c1d849-c18b-4e0f-a425-7adbf54775ab","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"相比视觉方案，其主要优势包括："}]},{"type":"bulletList","attrs":{"id":"4e6a503b-685e-4121-8776-c4a6c1afb724","isHoverDragHandle":false},"content":[{"type":"listItem","attrs":{"id":"8277117e-20e0-4420-8d80-bad6d991394f"},"content":[{"type":"paragraph","attrs":{"id":"fc4e02ed-fd8e-4aa3-9ef3-67b26a2847c5","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"毫米级定位精度"}]}]},{"type":"listItem","attrs":{"id":"8230ed11-eda1-4dd8-bae4-1b2015f2f1d6"},"content":[{"type":"paragraph","attrs":{"id":"9ba27b54-c196-4661-9868-a22c20e8ed6d","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"无遮挡问题"}]}]},{"type":"listItem","attrs":{"id":"3e765ff4-8a9d-489c-b049-710267c991f2"},"content":[{"type":"paragraph","attrs":{"id":"0bd88ecd-099a-404d-91b7-342763aa1f91","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"几乎无累计漂移"}]}]},{"type":"listItem","attrs":{"id":"53b7e336-f722-4e69-ac9e-bc8c60741d91"},"content":[{"type":"paragraph","attrs":{"id":"1558aad4-b494-40dd-94f9-2fc19ffcdbb4","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"校准速度快"}]}]},{"type":"listItem","attrs":{"id":"a9f4ed21-231e-494a-bc92-00edbb7c46fb"},"content":[{"type":"paragraph","attrs":{"id":"8371f5bd-f4aa-4b58-b630-faeab7931b2d","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"更适合长时间连续运行"}]}]}]},{"type":"paragraph","attrs":{"id":"c4dee905-82e6-4ec4-86ce-568cc429e2b8","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"官方资料显示，该产品可完整构建人体解剖学手模型，实现 "},{"type":"text","marks":[{"type":"bold"}],"text":"25 自由度（25 DOF）"},{"type":"text","text":" 的手部运动捕获，每一个关节及细微动作都能够被准确记录，可用于机器人训练、运动科学及 AI 数据采集。"}]},{"type":"horizontalRule","attrs":{"id":"c88e5e5f-f871-4486-9ea8-b39a1486c216","isHoverDragHandle":false}},{"type":"heading","attrs":{"id":"076d4364-258e-45d4-8e30-54c1ff43312e","textAlign":"inherit","indent":0,"level":2,"isHoverDragHandle":false},"content":[{"type":"text","text":"Haptic Feedback：不仅能看见，还能"感觉到""}]},{"type":"paragraph","attrs":{"id":"614a4930-aa33-4e77-b2fb-d17dae1186dd","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"Metagloves Pro Haptic 最大的升级，是加入了实时触觉反馈（Haptic Feedback）。"}]},{"type":"paragraph","attrs":{"id":"3cb48205-beb9-4bd3-9e5e-d4334c0f5507","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"传统的数据手套通常只有输入能力："}]},{"type":"blockquote","attrs":{"id":"f0576bff-da7d-4f43-b383-867e8f06dbe9","textAlign":"inherit","isHoverDragHandle":false},"content":[{"type":"paragraph","attrs":{"id":"8e4b6b02-eb17-4ec2-ba38-4e099334ef9c","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"人 → 手套 → 机器人"}]}]},{"type":"paragraph","attrs":{"id":"451cfb79-35a5-40f5-a274-3d9eb7813592","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"而 Haptic 版本增加了反馈闭环："}]},{"type":"blockquote","attrs":{"id":"c414af5f-fa14-432b-9de6-df041eb6c615","textAlign":"inherit","isHoverDragHandle":false},"content":[{"type":"paragraph","attrs":{"id":"874e7152-5deb-4f33-ab67-ed8a68db02ea","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"人 → 手套 → 机器人 → 环境 → 手套 → 人"}]}]},{"type":"paragraph","attrs":{"id":"3e82d655-6d18-4b8f-a598-3bda4083ec9d","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"当机器人："}]},{"type":"bulletList","attrs":{"id":"49b5d893-73eb-4114-8fd9-1eb676231e5f","isHoverDragHandle":false},"content":[{"type":"listItem","attrs":{"id":"6c347835-a5de-4525-98d1-e1aa77334340"},"content":[{"type":"paragraph","attrs":{"id":"76c6deb3-97b4-4dc3-82a5-8f76656f28a3","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"接触物体"}]}]},{"type":"listItem","attrs":{"id":"9aac75d1-545a-4285-834c-b26806c39c71"},"content":[{"type":"paragraph","attrs":{"id":"4907cc6c-e0da-4a30-8ae8-5edca0724769","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"抓取成功"}]}]},{"type":"listItem","attrs":{"id":"52bc3e45-8ddf-4253-86c2-4f08f7dce85f"},"content":[{"type":"paragraph","attrs":{"id":"146560f4-531b-47e8-ad51-45fa712a1d83","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"发生碰撞"}]}]},{"type":"listItem","attrs":{"id":"34e2838e-aa61-47c2-b024-4c90f47669a6"},"content":[{"type":"paragraph","attrs":{"id":"36cabda1-e06a-40a6-a892-5c7873b065a2","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"接近障碍物"}]}]}]},{"type":"paragraph","attrs":{"id":"1c8a2123-2af8-4877-b2e9-5bb00e262572","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"系统可以立即通过振动反馈告诉操作者。"}]},{"type":"paragraph","attrs":{"id":"8b07a02b-3bec-4c3f-adca-076035f7b191","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"官方采用了每根手指独立的 "},{"type":"text","marks":[{"type":"bold"}],"text":"LRA（Linear Resonant Actuator）线性谐振振动马达"},{"type":"text","text":"，支持 256 级振动强度控制，并具有较低反馈延迟，使操作者能够获得更加自然的交互体验。"}]},{"type":"paragraph","attrs":{"id":"ef25fb87-e598-4571-81d8-eb26a6dddb4d","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"对于远程机器人控制（Teleoperation）来说，这种反馈能够明显改善："}]},{"type":"bulletList","attrs":{"id":"204a39d1-d5e4-410c-9e03-69f4b152c590","isHoverDragHandle":false},"content":[{"type":"listItem","attrs":{"id":"6e9ca406-7be3-49c6-9a9c-71607c761185"},"content":[{"type":"paragraph","attrs":{"id":"6dda17c8-9849-48b0-a9ee-00962a0f9a68","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"抓取力度控制"}]}]},{"type":"listItem","attrs":{"id":"0a5783ae-251a-4521-aa58-dbce57f5d8d5"},"content":[{"type":"paragraph","attrs":{"id":"f0b5caff-3457-42d4-a387-cdba53638fbc","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"空间感知"}]}]},{"type":"listItem","attrs":{"id":"c5c21850-593a-4173-838b-558f9e53fd98"},"content":[{"type":"paragraph","attrs":{"id":"3a9a925b-84c3-4619-83e8-27434e4ccaf7","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"精细操作能力"}]}]},{"type":"listItem","attrs":{"id":"bf888890-b5ed-4c0c-a79f-a163fde810a3"},"content":[{"type":"paragraph","attrs":{"id":"96dc875b-12c5-4e1d-b9e7-559cc62d89fc","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"学习效率"}]}]}]},{"type":"paragraph","attrs":{"id":"c1e3aa14-2857-4e2f-9c8d-5e7fb3e07b2f","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"机器人操作者不再只是"看着机器人工作"，而是真正能够"感觉机器人正在做什么"。"}]},{"type":"horizontalRule","attrs":{"id":"6eb06f8c-c742-44ba-81aa-3dbc4a0c393b","isHoverDragHandle":false}},{"type":"heading","attrs":{"id":"476c9fd4-87a0-4d76-991f-78000b170994","textAlign":"inherit","indent":0,"level":2,"isHoverDragHandle":false},"content":[{"type":"text","text":"为什么触觉反馈对于具身智能越来越重要？"}]},{"type":"paragraph","attrs":{"id":"ae6b9301-6ac5-4a62-99c6-53afea5044a6","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"近几年，具身智能模型的发展方向已经发生变化。"}]},{"type":"paragraph","attrs":{"id":"640912db-7c4d-4d45-b24c-8b4903e94c11","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"过去："}]},{"type":"paragraph","attrs":{"id":"90610dd4-d13d-4ee4-808f-493c50a90eb1","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"AI 更多学习的是图像（Vision）。"}]},{"type":"paragraph","attrs":{"id":"ced80d73-e6a3-426f-a5f3-6685803b45cc","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"现在："}]},{"type":"paragraph","attrs":{"id":"911da888-ddf9-46e2-b252-44961408391c","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"AI 更需要学习完整的人类操作过程。"}]},{"type":"paragraph","attrs":{"id":"9b900c56-31e2-45d8-80d2-34489fc651aa","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"一个完整的数据样本不仅包括："}]},{"type":"bulletList","attrs":{"id":"89c1cf91-2f64-4a11-84da-d849af364948","isHoverDragHandle":false},"content":[{"type":"listItem","attrs":{"id":"540c6bc4-32ac-458f-925b-2346427cc77a"},"content":[{"type":"paragraph","attrs":{"id":"c19fb41e-39a1-4d23-bf9e-ca7fc9421df0","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"手部姿态"}]}]},{"type":"listItem","attrs":{"id":"89e0f5b2-3532-4fb7-90ac-3cf4c1027df6"},"content":[{"type":"paragraph","attrs":{"id":"6870d847-4051-4652-930d-3da083821498","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"手指角度"}]}]},{"type":"listItem","attrs":{"id":"2deb88bf-5b7d-4f69-9476-0d10073a5ed4"},"content":[{"type":"paragraph","attrs":{"id":"4ec851ad-7495-44a7-8cdc-f7d5f20c53e5","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"手腕运动"}]}]},{"type":"listItem","attrs":{"id":"7a962c73-f6b9-487b-8c73-3b3f04e609ad"},"content":[{"type":"paragraph","attrs":{"id":"165e3ba2-f745-430a-99e2-4b77b89b51ba","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"接触时机"}]}]},{"type":"listItem","attrs":{"id":"254e961c-3068-419b-92cc-5c894485cd5f"},"content":[{"type":"paragraph","attrs":{"id":"2332aa79-6d81-4135-820e-79955886a254","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"接触力度"}]}]},{"type":"listItem","attrs":{"id":"9a0442cf-bbcf-4e1b-9f8d-312f78d32b22"},"content":[{"type":"paragraph","attrs":{"id":"95f9e757-6e48-4983-9417-c052fbd3750e","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"操作者反馈"}]}]}]},{"type":"paragraph","attrs":{"id":"3bbc424f-e668-4471-8edc-d694836845ac","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"这种包含触觉信息的数据，对于机器人 Foundation Model 的训练价值更高。"}]},{"type":"paragraph","attrs":{"id":"9efef6f3-e1e5-48d1-a1a2-beb5daff524b","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"近年来不少机器人研究也表明，仅依赖视觉反馈进行遥操作，往往会限制精细操作能力，而加入触觉反馈能够提升接触感知与操控效果。"}]},{"type":"horizontalRule","attrs":{"id":"a27b98f7-7fde-4196-bfd0-e14cfddf1220","isHoverDragHandle":false}},{"type":"heading","attrs":{"id":"8ed8cf45-2fa5-4ce2-ac4a-27edf8e795da","textAlign":"inherit","indent":0,"level":1,"isHoverDragHandle":false},"content":[{"type":"text","text":"面向 AI 的完整数据采集能力"}]},{"type":"paragraph","attrs":{"id":"07698d24-e317-4cfc-9d85-d3f15a6c3308","textAlign":"inherit","indent":0,"color":null,"background":null,"isHoverDragHandle":false},"content":[{"type":"text","text":"相比普通 VR 手套，Metagloves Pro Haptic 更偏向于 AI 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