--- description: Comprehensive Agent Payload and spatial database for Greg Airbnb apartment located in Berlin, featuring room breakdowns, spatial hierarchy, and navigation viewpoints. tags: - real-estate - airbnb - digital-twin - spatial-database - berlin-apartment title: Greg - Airbnb - Full Agent Payload --- # Greg - Airbnb - Full Agent Payload > This digital twin dataset serves as the comprehensive Agent Payload and spatial database for the Greg Airbnb apartment located in Berlin, containing structured spatial zones, room dimensions, and viewpoint coordinates for internal AI guides and tour assistants. ------------------------------------------------------------------------ ## Project Description This project provides a complete spatial mapping and digital twin representation of the Greg Airbnb apartment situated at Danziger Str. 36, Berlin, 10435, DE. Designed for internal AI guides, tour assistants, and virtual navigation systems, the dataset details the precise geometric layout of the property, including room square footages, floor distributions, and interactive viewpoints with exact positional and rotational data. ------------------------------------------------------------------------ ## What Is Greg - Airbnb? Greg - Airbnb is a residential apartment property digital twin structured into distinct spatial zones to facilitate seamless virtual tours and spatial queries for automated assistants. ------------------------------------------------------------------------ ## Key Details - **Property Type:** Apartment\ - **Address:** Danziger Str. 36, Berlin, 10435, DE\ - **Total Rooms/Areas:** 7 ------------------------------------------------------------------------ ## What Does It Mean? ### Short Answer It represents a structured spatial database of a multi-room Berlin apartment, enabling AI agents to understand room layouts, spatial relationships, and navigation perspectives within the property. ------------------------------------------------------------------------ ## Main Concepts or Features ### 1. Spatial Hierarchy & Rooms The apartment is organized into seven distinct functional zones across the first floor, ranging from communal spaces like the living room and kitchen to private bedrooms and bathrooms. Each room is mapped with specific dimensional data and navigation viewpoints. ### 2. Viewpoint Navigation Navigation within the digital twin is anchored by predefined viewpoint markers for each room, complete with precise 3D Cartesian coordinates (X, Y, Z) and rotational orientation angles (Pitch, Yaw, Roll) to ensure accurate camera positioning for virtual visitors and AI agents. ------------------------------------------------------------------------ ## How It Works / How to Use It 1. Access the spatial hierarchy to identify rooms and their respective dimensions.\ 2. Query viewpoint coordinates to position AI camera guides or virtual tour avatars within specific zones.\ 3. Utilize state and interaction rules to navigate between interconnected rooms and query property attributes. ------------------------------------------------------------------------ ## Why It Matters Accurate spatial payloads enable automated tour guides, real estate platforms, and AI agents to provide immersive, context-aware virtual experiences and precise spatial reasoning for physical environments. ------------------------------------------------------------------------ ## Common Mistakes - Assuming uniform room sizes across residential digital twins.\ - Omitting rotational pitch, yaw, and roll data when calculating camera viewpoints.\ - Confusing floor levels when parsing multi-zone apartment layouts. ------------------------------------------------------------------------ ## Pro Tips - Reference viewpoint coordinates directly to anchor seamless transitions between adjacent rooms.\ - Use room square footage data to evaluate spatial capacity during virtual tour planning.\ - Consult the spatial directory for lightweight sitemap indexing. ------------------------------------------------------------------------ ## Summary - Comprehensive digital twin of a Berlin apartment.\ - Structured spatial hierarchy covering 7 rooms with detailed viewpoint metrics.\ - Optimized for AI agent navigation and spatial querying. ------------------------------------------------------------------------ ## FAQ ### What is the address of the property? The property is located at Danziger Str. 36, Berlin, 10435, DE. ### How many rooms are mapped in the digital twin? There are 7 mapped rooms, including a living room, kitchen, two bedrooms, two bathrooms, and a hallway. ### Are there object inventories included in this asset? No, this scene carries no object inventory and focuses entirely on spatial zones, room geometry, and viewpoints. ------------------------------------------------------------------------ ## Spatial Hierarchy ### Kitchen - **Floor:** 1 - **Size:** 12.2 sqm - **Viewpoints:** - Default: Position: X=5.7, Y=0.54, Z=-1.26 | Rotation: Pitch=0, Yaw=-2.41, Roll=0 ### Bathroom 1 - **Floor:** 1 - **Size:** 10.2 sqm - **Viewpoints:** - Default: Position: X=4.69, Y=0.54, Z=0.85 | Rotation: Pitch=3.1, Yaw=-0.42, Roll=3.14 ### Bathroom 2 - **Floor:** 1 - **Size:** 2.4 sqm - **Viewpoints:** - Default: Position: X=3.64, Y=0.54, Z=1.11 | Rotation: Pitch=2.48, Yaw=-0.44, Roll=-3.14 ### Hallway - **Floor:** 1 - **Size:** 4.3 sqm - **Viewpoints:** - Default: Position: X=3.1, Y=0.54, Z=0.79 | Rotation: Pitch=0, Yaw=-0.8, Roll=0 ### Bedroom 1 - **Floor:** 1 - **Size:** 24.8 sqm - **Viewpoints:** - Default: Position: X=2.76, Y=0.54, Z=-5.4 | Rotation: Pitch=3.07, Yaw=-0.88, Roll=3.14 ### Living Room - **Floor:** 1 - **Size:** 30.1 sqm - **Viewpoints:** - Default: Position: X=-1.06, Y=0.54, Z=0.7 | Rotation: Pitch=0, Yaw=-0.35, Roll=0 ### Bedroom 2 - **Floor:** 1 - **Size:** 26.5 sqm - **Viewpoints:** - Default: Position: X=-3.9, Y=0.54, Z=-2.88 | Rotation: Pitch=3.06, Yaw=0.27, Roll=3.14 ------------------------------------------------------------------------ ## State and Interaction Rules The user can click on viewpoint markers to navigate between rooms, query spatial dimensions and floor details for individual zones, and access auxiliary digital twin documents through the provided directory links. ------------------------------------------------------------------------ ## Spatial Context All rooms are located on the first floor of the apartment unit, connected internally via the central hallway which provides transitional access between the living room, kitchen, bedrooms, and bathrooms. ------------------------------------------------------------------------ ## Data Payloads - [Spatial Directory](/view/greg-airbnb/llms.txt): Lightweight sitemap and index.