Human intent for Physical AI.
为物理 AI 构建人类意图接口。WABO focuses on embodied intelligence and next-generation human–machine interaction. We are building a human intent interface for Physical AI, bringing human goals, judgment, and control intent into the chain of machine action.瓦博科技（WABO）面向具身智能与下一代人机交互，为物理 AI 构建人类意图接口，让人的目标、判断与控制意图进入机器的行动链路。
From neural signals
to machine action.
We are developing the WABO Neural Intent Model, exploring how to combine neural signals such as EEG and EMG with task context to identify goal selection, confirmation, correction, and takeover intent within explicit tasks, and connect that intent to intelligent device actions through system interfaces.我们正在构建 WABO Neural Intent Model（瓦博神经意图模型），探索融合脑电、肌电等神经信号与任务上下文，在明确任务条件下识别人的目标选择、确认、纠错与接管意图，并通过系统接口将其连接至智能终端的行动。
Drawing on our team’s research and development in brain–computer interfaces, human–machine interaction, and XR, we continue to develop neural sensing devices, intent models, and system interfaces. By coordinating hardware, AI, operating systems, and data, we are progressively connecting signal acquisition and intent recognition with device execution and feedback collection. Building a human intent interface for Physical AI is our long-term focus.依托团队在脑机接口、人机交互与 XR 等领域的研发积累，我们持续推进神经感知终端、意图模型与系统接口的研发，协同硬件、AI、系统与数据，逐步打通从信号采集、意图识别到终端执行与反馈回流的技术链路。为物理 AI 构建人类意图接口，是瓦博长期投入的核心方向。
One question, pursued across generations of interaction.
From spatial computing to neural interaction, the question remains the same: how can people express intent to machines more directly, clearly and naturally?从空间计算到神经交互，我们始终追问同一件事：人如何更直接、清晰、自然地向机器表达意图？
Build the loop, not isolated parts.
Signal quality changes what a model can learn. Task definition changes what data means. OS design changes how human context can be used safely.
We develop these layers together, and we separate long-term ambition from claims that can be verified today.
跨学科不是团队标签，而是构建 HAOD 人类意图闭环所必需的工程方式。
Build across boundaries.
Work across neuroscience, artificial intelligence, hardware, OS, and data engineering to make human context usable by machines.与跨学科团队一起，为机器建立更安全的人类上下文层。
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