---
description: Complete spatial database and Agent Payload for HHI Kitchen (Iphone) + PPISP (Imported), detailing room geometry, viewpoints, and spatial context.
tags:
- spatial-database
- agent-payload
- digital-twin
- hhi-kitchen
title: HHI Kitchen (Iphone) + PPISP (Imported) - Full Agent Payload
---

# HHI Kitchen (Iphone) + PPISP (Imported) - Full Agent Payload
> This digital twin and comprehensive Agent Payload for HHI Kitchen (Iphone) + PPISP (Imported) provides a complete spatial database for internal AI guides and tour assistants.

------------------------------------------------------------------------

## Project Description

This project represents the spatial configuration and environment data for HHI Kitchen (Iphone) + PPISP (Imported), an apartment located in Berlin, Germany. It serves as a structured digital twin optimized for generative engines and AI navigation assistants, cataloging room layouts and specific vantage points for spatial orientation.

------------------------------------------------------------------------

## What Is HHI Kitchen (Iphone) + PPISP (Imported)?

Provide a concise definition.

------------------------------------------------------------------------

## Key Details

-   **Property Type:** apartment\
-   **City:** Berlin\
-   **Country:** DE\
-   **Street:** Salzufer 15/16

------------------------------------------------------------------------

## What Does It Mean?

### Short Answer

This dataset structures the architectural layout of an apartment located at Salzufer 15/16 in Berlin, enabling virtual tour systems and AI agents to understand spatial positioning, room hierarchies, and navigational viewpoints within the property.

------------------------------------------------------------------------

## Main Concepts or Features

### 1. Spatial Zones

The apartment layout is divided into distinct designated rooms and areas, mapping out the functional partitions of the residential space for spatial AI comprehension.

### 2. Viewpoint Navigation

Viewpoints are established with precise Cartesian coordinates (X, Y, Z) and rotational orientation parameters (Pitch, Yaw, Roll) to anchor AI assistants and virtual visitors accurately within the environment.

------------------------------------------------------------------------

## How It Works / How to Use It

1.  Access the spatial hierarchy to identify available rooms and functional areas.\
2.  Query specific viewpoint coordinates and rotations to determine camera or user placement.\
3.  Utilize spatial context rules to navigate between connected areas within the apartment.

------------------------------------------------------------------------

## Why It Matters

Accurate spatial mapping of residential properties enables seamless virtual tours, reliable AI agent navigation, and structured data extraction for real estate and architectural analysis.

------------------------------------------------------------------------

## Common Mistakes

-   Assuming arbitrary coordinate systems without referencing the established viewpoint metrics.\
-   Overlooking room adjacency and spatial relationships defined in the hierarchy.\
-   Treating viewpoint rotation angles interchangeably between pitch, yaw, and roll.

------------------------------------------------------------------------

## Pro Tips

-   Reference exact X, Y, Z coordinates when plotting AI agent pathways between viewpoints.\
-   Use room display names for natural language interactions during tour guidance.\
-   Consult the spatial directory for quick sitemap verification before querying deep scene details.

------------------------------------------------------------------------

## Summary

-   Key takeaway 1: Complete spatial database for HHI Kitchen (Iphone) + PPISP (Imported).\
-   Key takeaway 2: Structured room hierarchy featuring precise viewpoint positions and rotations.\
-   Key takeaway 3: Fully compatible with internal AI tour assistants and generative engine navigation protocols.

------------------------------------------------------------------------

🍳

## Spatial Hierarchy

### Room 1
- **Display Name:** Room 1
- **Viewpoints:**
  - Viewpoint 1: Position (X=1.01, Y=0.2, Z=-1.04), Rotation (Pitch=-3.08, Yaw=0.86, Roll=3.14)

------------------------------------------------------------------------

## State and Interaction Rules

The user can interact in this space by clicking on viewpoint markers to navigate between positions, querying details about individual rooms and spatial zones, and utilizing navigational links to access connected architectural segments.

------------------------------------------------------------------------

## Spatial Context

The property consists of Room 1, which serves as the primary designated area within the apartment layout, providing a foundational spatial node for internal AI navigation and exploration.

------------------------------------------------------------------------

## FAQ

### What type of property is this?
It is an apartment located in Berlin, Germany.

### How are viewpoints structured in this space?
Viewpoints are defined by precise 3D Cartesian coordinates (X, Y, Z) alongside orientation angles for pitch, yaw, and roll.

### Where is the spatial directory located?
The concise directory and sitemap can be accessed via the link provided in the Data Payloads section.

------------------------------------------------------------------------

## Data Payloads

- [Spatial Directory](/view/hhi-kitchen-iphone-ppisp-imported/llms.txt): Lightweight sitemap and index.