6. Future Directions

While SpatialDDS establishes a practical baseline for real-time spatial computing, several areas invite further exploration:

• Reference Implementations
  Open-source libraries and bridges to existing ecosystems (e.g., ROS 2, OpenXR, OGC APIs) would make it easier for developers to adopt SpatialDDS in robotics, AR, and twin platforms.
• Semantic Enrichment
  Extending beyond 2D/3D detections, future work could align with ontologies and scene graphs to enable richer machine-readable semantics for AI world models and analytics.
• Neural Integration
  Provisional support for neural fields (NeRFs, Gaussian splats) could mature into a stable profile, ensuring consistent ways to stream and query neural representations across devices and services.
• Agent Interoperability
  Lightweight tasking and coordination schemas could evolve into a standard Agent profile, supporting multi-agent planning and human-AI collaboration at scale.
• Standards Alignment
  Ongoing coordination with OGC, Khronos, W3C, and GSMA initiatives will help ensure SpatialDDS complements existing geospatial, XR, and telecom standards rather than duplicating them.

Together, these directions point toward a future where SpatialDDS is not just a protocol but a foundation for an open, interoperable ecosystem of real-time world models.

We invite implementers, researchers, and standards bodies to explore SpatialDDS, contribute extensions, and help shape it into a shared backbone for real-time spatial computing and AI world models.