VIDYUT means electricity. Like electricity flowing through every circuit, VIDYUT moves through every layer of a machine—geometry, electronics, control and environment—to uncover failures before physical trials.
Find integration failures before the physical trial.
A virtual proving workflow for autonomous machines—combining geometry, electronics, repeatable failure scenarios and engineering evidence.
PHYSICAL MACHINE / 19 DOFGEOMETRY × ELECTRONICS × CONTROLCAD describes the body.
It does not prove the machine.
Critical failures emerge where geometry, electronics and controller behaviour meet. Finding them during physical integration costs time, hardware and sometimes safety.
For teams validating autonomous machines.
Robotics & embedded teams
Developing drones, rovers, humanoids and physical-AI systems.
Test engineers
Responsible for repeatable failures, thresholds and reviewable evidence.
Smaller autonomy & space teams
Learning before costly trials without an enterprise-scale proving ground.
One continuous engineering loop.
- 01DescribeGeometry + electronics
- 02ChallengeEnvironment + failures
- 03ExecuteSIL + controller bridge
- 04ProveTelemetry + evidence
Give the model a body, electronics, and interfaces.
Geometry and wiring are separate sources. VIDYUT combines them into one reviewable machine manifest before any test is allowed to run.
Start from a working adapter
19‑DOF humanoid · right gripper channel
Run the NUCLEO-G474RE/PCA9685 hardware proof from inside this working adapter. The virtual gripper changes only after the controller acknowledges the physical PWM command.
Waiting for VIDYUT gripper controller…
Import engineering sources
Geometry and physical properties
Components
| ID | Component | Role | Input V min | Input V max | Load A | Bus / address | Confirmed |
|---|
Power and signal connections
| Kind | From component.pin | To component.pin | Signal | Frequency Hz |
|---|
For large assemblies, upload the JSON manifest or KiCad netlist, then use this editor only for corrections.
Choose a world, then compose the failures.
Select any compatible tests. The deterministic executor owns timing and results; GPT-5.6 can draft a constrained plan.