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DeepMirror Brings OpenClaw to Unitree Robots as Physical AI Runtime Layer

Hong Kong startup DeepMirror integrates OpenClaw as the upper-layer runtime for Unitree robots. OpenClaw handles intent, planning, and tool use while DeepMirror's physical runtime handles real-world execution. Positions as middleware bridging AI reasoning and physical action.

Product Idea from this Signal

An SDK that bridges AI agent planning to physical robot control systems through standardized action primitives

AI agents can plan and reason but have no concept of physical space, motor control, or sensor data. DeepMirror built a custom bridge for Unitree robots but every robotics company needs to build their own. NASA's ROSA and the Agent ROS Bridge prove demand for standard LLM-to-robot interfaces. This SDK provides a standard interface between agent tool systems and robot SDKs (ROS2, Unitree, Boston Dynamics), mapping AI-planned actions to robot commands with safety constraints and real-world feedback loops.

roboticsai-agentssdkros2physical-aiembodied-intelligencehardware
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