WORLD INSTANCE / LIVE

TRAINING DOMAINS

TRAINING DOMAIN / FLUID 01

REAL
TO SIM.

Copy the physical world into simulation so a robot can learn from forces, not approximations.

PHYSICS DOMAIN

FLUID CONTACT

Surface tension, buoyancy,
displacement.

01 SOLVER / FLUID

02 DENSITY / 998 KG/M3

03 CONTACT / COUPLED

Touch the surface. Inspect how the simulated world returns force.

WORLD COPY / TRAINING PIPELINE

COPY THE
PHYSICS.
TRAIN THE ROBOT.

Humanoid robot being programmed inside a physical workcell.
REAL SCENE / CAPTURED PHYSICAL PROPERTIES / MEASURED

01

CAPTURE / REALITY

Measure the physical world.

Mass, friction, compliance, fluid density and sensor noise enter the model as measured conditions.

02

REBUILD / SIMULATION

Reconstruct every consequence.

The solver preserves contact, deformation and state changes instead of reducing the world to appearance.

03

TRAIN / TRANSFER

Send behavior back to reality.

Robot policies meet fewer surprises because the simulation has already taught them how the world pushes back.

SIM-TO-REAL GAP / PHYSICS

THE MODEL
IS NOT THE WORLD.

Robot policies fail when simulation simplifies the forces that shape behavior. Drag through one workcell to inspect the gap between model and rendered observation.

Rendered observation of a humanoid robot workcell.

01 / THE MODEL LABELS THE SAME CONTACT.

02 / THE RENDER MAKES ITS MATERIAL LEGIBLE.

SLIDE TO INSPECT ←→

REFERENCE PIPELINE / NVIDIA ISAAC SIM

ONE WORLD.
MACHINE READABLE.

Same camera, same robot, same room. Structured scene truth and rendered observation must remain perfectly registered.

NVIDIA Isaac Sim RGB rendering of a robot in a room.

SAME CAMERA / SAME ASSET / DIFFERENT READS

NVIDIA ISAAC SIM REFERENCE - INTERNAL EVALUATION ONLY

Domain randomized robot training environments.
01 / DOMAIN RANDOMIZATIONTeach the policy what may change.
Synthetic data channels for robot perception training.
02 / SYNTHETIC DATAKeep every training signal aligned.

PHYSICS SOLVER / CONTACT FIELD

FORCE
BECOMES
TRAINING.

Place a contact point in the field. The solver turns force, viscosity and displacement into a training consequence.

TRAINING FIELDX 0.48 / Y 0.52
RESPONSEIDLE
VISCOSITY0.41 PA.S
PRESSURE0.62 N

PLACE CONTACT

POINTER POSITION MODULATES THE PROJECTED MATERIAL

NO RECORD IS PRESERVED OUTSIDE THIS INSTANCE

WHAT THE ROBOT MUST FEEL

THREE LAYERS
OF TRANSFER.

01

FORCE

Weight changes the boundary, and the boundary returns a force the policy can learn.

02

STATE

Water, dust, heat and deformation persist between actions instead of resetting cleanly.

03

CONSEQUENCE

Every action becomes a physical condition for the robot's next decision.