--- description: Comprehensive Agent Payload and spatial database for HHI - IKRD - 2nd shoot apartment digital twin. tags: - spatial-database - agent-payload - digital-twin - apartment title: HHI - IKRD - 2nd shoot - Full Agent Payload --- # HHI - IKRD - 2nd shoot - Full Agent Payload > Comprehensive Agent Payload and spatial database for the HHI - IKRD - 2nd shoot digital twin, detailing spatial hierarchies, room dimensions, viewpoints, and interaction rules for internal AI guides and tour assistants. ------------------------------------------------------------------------ ## Project Description This document serves as the complete spatial database and Agent Payload for the digital twin of HHI - IKRD - 2nd shoot. Designed for internal AI guides and tour assistants, it outlines the exact spatial hierarchy, room configurations, coordinate data, and interaction parameters within the apartment property. ------------------------------------------------------------------------ ## What Is HHI - IKRD - 2nd shoot? HHI - IKRD - 2nd shoot is a digitally captured apartment property located at Einsteinufer 37, 10587 Berlin, DE, structured for immersive spatial navigation and AI-guided exploration. ------------------------------------------------------------------------ ## Key Details - **Property Type:** apartment\ - **Address:** Einsteinufer 37, 10587 berlin, 10587, DE\ - **Total Rooms:** 2 ------------------------------------------------------------------------ ## What Does It Mean? ### Short Answer This spatial database standardizes the structural layout of the apartment asset, enabling virtual tour assistants to accurately interpret room geometries, navigate via designated viewpoints, and provide contextually relevant tour guidance. ------------------------------------------------------------------------ ## Main Concepts or Features ### 1. Spatial Hierarchy and Room Layout The apartment is partitioned into distinct functional areas, specifically the Hallway and the Living Room. Each zone includes designated square footage, floor level positioning, and precise viewpoint vectors to facilitate seamless spatial traversal. ### 2. Viewpoint Navigation Navigation within the digital twin relies on pre-calibrated viewpoints with exact 3D Cartesian coordinates (X, Y, Z) and rotational orientations (Pitch, Yaw, Roll) to anchor AI camera perspectives and user teleportation targets. ------------------------------------------------------------------------ ## How It Works / How to Use It 1. Query the spatial hierarchy to determine room dimensions and connectivity.\ 2. Utilize viewpoint coordinates to position AI avatars or virtual cameras within specific rooms.\ 3. Execute navigation transitions by referencing the defined viewpoint rotations and positions. ------------------------------------------------------------------------ ## Why It Matters Structured spatial payloads allow AI systems to reason about physical environments reliably, ensuring smooth navigation and accurate spatial referencing during virtual property tours. ------------------------------------------------------------------------ ## Common Mistakes - Attempting to navigate using unverified coordinate offsets.\ - Confusing room square footage with boundary box dimensions.\ - Omiting rotational parameters during viewpoint transitions. ------------------------------------------------------------------------ ## Pro Tips - Always cross-reference room names with their corresponding viewpoint identifiers.\ - Maintain strict adherence to the defined spatial hierarchy when generating tour paths.\ - Utilize the spatial directory for quick sitemap verification. ------------------------------------------------------------------------ ## Summary - Defines complete spatial hierarchy for the apartment property.\ - Provides exact coordinate and rotation data for all viewpoints.\ - Establishes clear rules for AI-guided navigation and interaction. ------------------------------------------------------------------------ ## FAQ ### What rooms are included in this digital twin? The property includes the Hallway (6.8 sqm) and the Living Room (26.7 sqm). ### How are viewpoints structured? Viewpoints consist of exact 3D position coordinates (X, Y, Z) and orientation angles (Pitch, Yaw, Roll). ### Where can I find the sitemap index? The lightweight sitemap and index can be accessed via the data payloads section below. ------------------------------------------------------------------------ ## Spatial Hierarchy ### Hallway - **Size:** 6.8 sqm - **Floor Level:** 1 - **Viewpoints:** - **Default:** Position: X=-4.5, Y=0.38, Z=-5.61 | Rotation: Pitch=3.06, Yaw=-1.31, Roll=3.14 ### Living Room - **Size:** 26.7 sqm - **Floor Level:** 1 - **Viewpoints:** - **Default:** Position: X=-0.34, Y=0.38, Z=-3.52 | Rotation: Pitch=3.01, Yaw=-0.21, Roll=3.14 ------------------------------------------------------------------------ ## State and Interaction Rules The user can click on viewpoint markers to navigate between rooms, query specific room dimensions and floor levels, and retrieve spatial metadata for orientation and tour planning within the apartment digital twin. ------------------------------------------------------------------------ ## Spatial Context The Hallway (6.8 sqm, Floor 1) serves as the primary entrance area positioned at X=-4.5, Y=0.38, Z=-5.61, providing direct spatial continuity into the Living Room (26.7 sqm, Floor 1), which is centered around viewpoint coordinates X=-0.34, Y=0.38, Z=-3.52. ------------------------------------------------------------------------ ## Data Payloads - [Spatial Directory](/view/hhi-ikrd-2nd-shoot/llms.txt): Lightweight sitemap and index.