Auto-Calibrating Twins
Twins built from rigid-body dynamics. Candidates generate and validate on their own. You approve before anything deploys.
Monitors the robot, detects when the twin drifts, and shadow-validates a new calibration candidate. You approve before a signed profile activates.
Keep industrial robot arms accurate without constant manual recalibration.
Twins built from rigid-body dynamics. Candidates generate and validate on their own. You approve before anything deploys.
Live robot data is compared to twin predictions in real time. Mismatch is caught as soon as it appears.
A local assurance runtime detects drift and elevates candidates on the edge. Cloud handles validation, signing, and fleet coordination.
Every profile is Ed25519-signed. Activation is atomic with instant rollback. Physics checks reject bad parameter changes before they go live.
Built on GCP: Cloud Run, Cloud SQL, and Pub/Sub. Scales on demand. Deploys in minutes.
Connect the agent, commission in simulation, then keep the twin accurate with ongoing monitoring.
Install the Calibrance edge agent. It reads kinematic data straight from the controller and works across robot brands.
Calibrate the twin in physics simulation, validate against simulated ground truth, then transfer parameters. No risk to production equipment.
Drift detection triggers a new candidate. The candidate is validated on held-out data, then presented as a signed profile for your approval.
Simulation-first calibration, smart excitation, and a signed profile lifecycle.
Digital twins from rigid-body dynamics
Calibrate in simulation first
Smart excitation planning
Minimum activities for maximum identifiability
Shadow validation pipeline
Held-out data check before every deployment
Signed profile lifecycle
Cryptographic signing, atomic activation, instant rollback
Recalibration loop
Detect → recalibrate → validate → activate → monitor
Questions about deployment, integration, or a pilot on your floor? Send a note and we will reply within 24 hours.
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