Spaces:
Running
Download README.md from worldcompiler/real2sim-explorer: direct link, hf CLI and curl.
- Browser
- Download file 2.58 kB
-
https://huggingface.co/spaces/worldcompiler/real2sim-explorer/resolve/main/README.md
- Command line
-
hf download hf://spaces/worldcompiler/real2sim-explorer/README.md
-
curl -L -o README.md https://huggingface.co/spaces/worldcompiler/real2sim-explorer/resolve/main/README.md
title: Real2Sim Explorer
emoji: π§±
colorFrom: blue
colorTo: indigo
sdk: static
app_file: index.html
pinned: false
short_description: Explore Real2Sim pipelines for robotics and Physical AI
π§± Real2Sim Explorer
Explore how real environments are reconstructed, structured and converted into simulation-ready worlds for robotics and Physical AI.
The Real2Sim Explorer focuses on one of the most practical applications of World Compilation:
How do we turn a real environment into a simulation that preserves the information needed for learning, planning and control?
A typical pipeline is:
REAL WORLD
β
Capture
β
Reconstruction
β
Object Decomposition
β
Semantics
β
Physical Properties
β
Dynamics
β
Simulation Conversion
β
Domain Randomization
β
Synthetic Data
β
Validation
Why Real2Sim matters
Real-world data is valuable but expensive, slow and difficult to scale.
Simulation is scalable but can diverge from reality.
Real2Sim connects the two.
The goal is not merely to create a visually similar 3D scene. A useful Real2Sim pipeline should preserve enough:
- geometry
- state
- object identity
- physical properties
- dynamics
- actions
- semantics
- uncertainty
to support downstream AI systems.
Real2Sim as World Compilation
REALITY
β
WORLD COMPILER
β
SIMULATION-READY WORLD
β
SYNTHETIC EXPERIENCE
β
WORLD MODEL / POLICY / PLANNER
Included practical examples
examples/scene_schema.jsonβ a compact simulation-ready world schemaexamples/domain_randomization.jsonβ example randomization rangesexamples/validation_config.jsonβ example Real2Sim validation protocol
The reality gap
A reconstructed scene can be visually impressive while still being poor for robotics.
The reality gap may come from:
- inaccurate geometry
- wrong friction
- incorrect mass
- weak contact modeling
- missing objects
- unrealistic sensors
- timing differences
- imperfect dynamics
Therefore Real2Sim quality should ultimately be evaluated by downstream transfer, not appearance alone.
Relationship to worldcompiler
worldcompiler covers the broader transformation:
Reality β Structured Representation
Real2Sim is one important branch:
Reality β Structured Representation β Simulation
Cooperation
Cooperation, research and ecosystem partnerships:
agenten@magenta.de
Compile the real world into environments AI can safely explore.