The training sequence matters as much as the world.

A robot trained on the wrong progression learns shortcuts that fail on hardware. Kyros curricula package staged task difficulty, randomized conditions, and transfer checks into one reproducible training path.

curriculum_graphstage gates + eval suites
research benchbenchmark paper
deltaablationtransfer
physics
policy
transfer
5
progressive stages from clean task to transfer stress test
20+
pre-built curricula across manipulation, locomotion, and perception
Fork
adapt any sequence to your robot, task, or lab constraints

Anatomy of a curriculum.

A sequential 5-stage progression ensuring robust sim-to-real transfer.

90%

Stage 01: Controlled Primitive

Success Threshold

Robot encounters one object in a fixed position. Zero variation to build core primitives.

success threshold: 85%

Stage 02: Multi-Object Fixed

Three objects, fixed layouts. Robot learns to isolate target coordinates and ignore adjacent clutter distractors.

success threshold: 82%

Stage 03: Random Position

Single object, fully randomized coordinate offsets. Core spatial generalization starts across workspace.

success threshold: 78%

Stage 04: Clutter & Noise

Three objects in fully random locations with distractor blocks. Model isolates correct objects and plans collision-free paths.

success threshold: 70%

Stage 05: Domain Randomization

Lighting, friction, mass, materials, camera positions — all randomized. Surviving policy generalizes immediately to real hardware.

Light & Shadows
L
F
Friction Coeff
Mass & Inertia
M

Train in the right order.

Get early access to the full curriculum library.