Walk anywhere. Trained everywhere.
A locomotion policy that only walks on flat lab floors is a demo, not a product. Kyros locomotion environments randomize terrain, gravity, motor dynamics, and disturbance distributions until your policy survives every condition you'll meet in the field.
Bipedal gait library
Reference walking, running, side-stepping and turning gaits, plus a curriculum to fine-tune each onto your robot.
Quadrupedal terrain suite
Stairs, slopes, gravel, ice, debris. Procedurally generated terrain with full physics tuning.
Outdoor & natural terrain
Dirt, mud, grass, rock — non-flat ground with realistic friction and deformation models.
Disturbance randomization
Random pushes, dropped payloads, leg failures. Train recovery into the policy, not on top of it.
Dynamics randomization
Mass, inertia, motor torque, latency, sensor noise. Robust by construction.
Navigation-conditioned policies
Couple low-level locomotion with high-level navigation goals using the same simulation backbone.