Inspiration
Spatial thinking is still fragmented. Whether you're learning physics, designing systems, or prototyping ideas, you jump between sketching, modeling, and simulation tools that don’t connect. At the same time, XR and stylus input have matured—but are still mostly used for viewing, not thinking.
MR Blueprint started from a simple idea: what if your environment itself became a system you could design, test, and understand in real time?
What it does
MR Blueprint is a mixed reality physics sandbox that turns your space into an interactive lab. Users can place objects, draw behaviors like springs and hinges, adjust physical properties, and run simulations instantly.
Instead of just watching motion, users see trajectories, vectors, and live data—making cause and effect intuitive and immediate.
How we built it
Built in Unity for Meta Quest, MR Blueprint combines spatial interaction, stylus input, and real-time simulation into one continuous workflow:
- A world-space editor with floating UI and content drawer
- Object spawning and manipulation for rapid scene setup
- A physics inspector to tune mass, friction, restitution, and more
- Draw Mode powered by Logitech MX Ink, enabling users to sketch constraints and behaviors directly in 3D
- A simulation engine with pause, restart, and full scene restore
- A visual feedback layer with trajectories, vectors, motion paths, and live graphing
Everything is designed around a tight loop: build → draw → simulate → iterate.
Challenges we ran into
- Making a 3D, world-space interface feel intuitive without traditional UI patterns
- Turning stylus input into something meaningful and expressive, not just precise
- Maintaining performance and responsiveness during live simulation
- Designing visualizations that clarify behavior without adding noise
- Balancing power and simplicity in a first-time user experience
Accomplishments that we're proud of
- Transforming MX Ink into a true behavior authoring tool
- Delivering a complete end-to-end XR workflow, not just a feature demo
- Enabling instant iteration with scene restoration, encouraging experimentation
- Creating a clean, demo-ready experience that feels like a real product
- Showing how XR can support understanding and reasoning, not just visualization
What we learned
- Direct, spatial interaction dramatically improves intuition and engagement
- People understand systems faster when they can see behavior unfold live
- Stylus input becomes powerful when mapped to system-level meaning
- A tight, repeatable workflow loop is more valuable than feature complexity
- XR + real-time feedback is especially strong for education and prototyping use cases
What's next for MR Blueprint
- Expand PhysicsLens with deeper analytics and insights
- Add multi-user collaboration for shared XR sessions
- Introduce AI-assisted creation and explanation
- Build structured educational experiences and modules
- Prepare for Meta Store and XR marketplace distribution

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