- name
- s2-sssu-origin-alignment-brain
- description
- S2 Spatial Twin & Origin Alignment Brain. Hybrid Python-Runtime skill enforcing Z-axis reduction and mandatory 2D grid translation via the main entrance anchor.
- version
- 1.2.5
- author
- Space2.world (Miles Xiang)
- tags
- [Spatial-Twin, Grid-Alignment, Embodied-AI, SSSU, SP-OS]
- allowed-tools
- [s2_origin_alignment_execute]
- metadata
- clawdbot
- type
- executable
- instruction_only
- false
- requires
- env
- [S2_SWARM_PKI_ROOT]
🌐 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 ($\Delta X, \Delta Y, \Delta \ heta$) 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.