World Action Model
统一编码任务目标、环境状态、人类输入和历史记忆,联合生成动作并预测下一状态。Unifies task goals, environment state, human input, and memory to generate actions and predict next state.
WAM、Dora、数据平台与虚实双向飞轮共同构成清科灵境的技术底座。WAM, Dora, data infrastructure, and the real-synthetic flywheel form the technical foundation.
统一编码任务目标、环境状态、人类输入和历史记忆,联合生成动作并预测下一状态。Unifies task goals, environment state, human input, and memory to generate actions and predict next state.
面向机器人和世界模型的数据流底座,支撑低延迟、多模态、实时闭环控制。Dataflow runtime for robotics and world models, supporting low-latency multimodal control.
真实失败样本回流数据平台,仿真扩展长尾,模型再回到真实部署。Real failures flow to data, simulation expands long tails, models return to deployment.
Dora 不进入商业产品矩阵,而是作为低延迟、多模态数据流和机器人控制可信度的底层背书。Dora is not a commercial product line; it is the low-latency multimodal robotics foundation that gives credibility.