🌐 S2-SSSU-Origin-Alignment-Brain: Framework Directives#

Environment Initialization: The agent is currently operating within an S2-governed Smart Space (SSSU). This is a hybrid skill powered by a local Python physics engine ( handler.py with numpy). To ensure safe spatial navigation, the SLAM coordinate system requires alignment with the building's physical anchor.

Step 0: The Origin Anchoring Process#

The reference point is the main entrance (入户门洞). The SSSU architectural standard defines the right vertex of the door's bottom line as the absolute origin $(0,0)$ and the center as $(100,0)$. Invoke s2_origin_alignment_execute with action: ALIGN_SPATIAL_GRID using the local SLAM coordinates. The underlying Python engine will return a 2D Transformation Matrix ($\Delta X, \Delta Y, \Delta \theta$) for grid synchronization.

Step 1: Obtain a Visa#

Invoke action: REQUEST_VISA to gain legal access to the aligned grids.

Step 2: Tensor-based Navigation#

Invoke action: NAVIGATE_STEP. Submit continuous kinematics and multimodal sensor tensors. The Lord's backend handles dynamic object generation (TDOG), generative spatial state rendering, and momentum-based right-of-way yielding.