Neural weights for
physical agents.
access foundational large behavior models (lbms) trained inside our hyper-parallel simulation engine. zero-shot ready for edge deployment.
SYSTEM_MODELS // WEIGHT_MANIFEST
Model-01 Humanoid Base
foundation humanoid policy optimized for high-dimensional coordination and bipedal stability. utilizes causal transformer core for historical state awareness.
NETWORK_TOPOLOGY
KINEMATIC_SAFETY
ARTIFACT_LEDGER
Model-02 Industrial Arm
high-precision manipulation kernel for 7-DOF industrial arms. zero-shot transfer from humanoid latent embeddings achieved in v3.2.
NETWORK_TOPOLOGY
KINEMATIC_SAFETY
ARTIFACT_LEDGER
Model-03 Bipedal Agile
specialized policy for high-impact bipedal activities. trained via extreme domain randomization (edr) for robust jumping and sprinting.
NETWORK_TOPOLOGY
KINEMATIC_SAFETY
ARTIFACT_LEDGER
Model-04 Quadruped Base
robust quadrupedal locomotion kernel. designed for rough-terrain navigation and high-speed dynamic recovery.
NETWORK_TOPOLOGY
KINEMATIC_SAFETY
ARTIFACT_LEDGER
Safety_Architecture
all policies execute behind a deterministic kinematic supervisor. if a neural command violates physical joint limits or balance constraints, a high-damping pd fallback instantly arrests momentum.
Sim_to_Real_Gap
we achieve 0.94+ correlation using extreme domain randomization (edr). by varying mass matrices, friction, and latency during parallel training, policies learn invariant representations of physics.
Simulation_Kernel
our engine resolves closed-loop kinematic chains at 10,000 tps using damped least squares (dls) solvers, eliminating mass-matrix singularities and preventing reward exploitation during rollout.
DEPLOYMENT_READY
Flash to edge silicon.
pull these weights directly via the iacon cli. our compilation engine handles the int8 quantization and tensorrt graph generation automatically.