Simulation test · Isaac Sim

Test the production conditions around the robot.

A conveyor feeds machined housings to a robotic inspection-and-packing station. Compare faster robot motion with a second tray drawer, then introduce longer inspection times or bursts of incoming parts.

Watch the cell and the comparison.

Isaac Sim render · silent film. Timing scenarios use declared assumptions. Contact-physics trials are checked separately; neither establishes hardware production performance.
Choose a condition

Replay the same production window.

The first three cases use the same 24 incoming parts, two-second inspection and 22-second external tray-exchange delay. Each clip compresses 180 simulated seconds into 30 seconds. Choose a case, then press Play.

One four-pocket tray. The cell waits while the full tray is exchanged.

Recorded scenario, not a live connection to physical equipment. The queue count includes parts waiting upstream of the four-position conveyor.

At this point in the replay
Simulated time
0.0 s
Completed
0
Waiting to enter the station
0

Waiting for playback

At 180 simulated seconds

12 of 24 parts completed

66 seconds waiting for a tray

What changes the result?

Recorded event-model results over 180 simulated seconds
CaseCompleted / 24Waiting for trayPeak waiting queue
One tray1266 s13
Faster robot1666 s12
Two tray drawers190 s8
Longer inspection110 s14
Bursty arrivals190 s12

The second drawer lets the robot continue while the other tray is exchanged. Faster robot motion also improves output here, but the single tray still interrupts production. When inspection increases to eight seconds, that longer process becomes the constraint even with two drawers.

Bursty arrivals increase the peak queue without changing completed output in this particular run. Extra storage can absorb a burst; it does not increase the inspection station’s processing capacity.

Contact and assembly

A four-part contact trial on the same cell.

Separately from the timing scenarios, four parts were picked from the conveyor and placed in a tray under simulated contact physics, and the mounting interfaces and clearances were checked in the authored geometry.

Scoped checks and their results
CheckResult
Four-part pick and place, normal speed, 240 Hz time stepPassed. Placement error below 0.3 mm
Four-part pick and place, faster motion, 240 Hz time stepPassed. Placement error below 0.3 mm
Same trial at a 480 Hz time stepPassed. All four parts within 0.08 mm; differs from the 240 Hz run by at most 0.21 mm
Low-friction control (friction 0.01 instead of 0.6)Failed as expected. The part is not lifted
Mounting interfaces, tool clearances and drawer-rail engagementChecked against the authored geometry
How the trial is set up
  • Gravity, a friction-driven conveyor and a retractable stop
  • Finite-force jaw drives; the part stays a free body through pickup and release, with no fixed grasp attachment
  • Stationary trays and a Cartesian wrist-drive model
Model boundaries
  • Assumed, not measured: mass and inertia, from the modelled geometry and assumed material densities; friction; servo settings
  • Not in the model: vision — pickup uses perfect simulated pose feedback and inspection is a timed step; the robot’s motors, structural compliance and vendor controller
  • Authored, not simulated: the robot motion in the three-minute comparisons, which are event-model studies
  • Needs the physical equipment: gripping, sensing, tray exchange, guarding and production rates
Where the geometry comes from
  • Robot: Epson’s published GX8 CAD
  • Setting: NVIDIA warehouse assets
  • Conveyor, camera mount, fixture, gripper and drawers: concept assemblies built for this demo

Read the saved simulation results

Discuss your project

Bring one automation decision to the model.

A layout, part drawing, cycle-time observations and a clear success criterion provide a starting point for comparing alternatives. Agree what the model needs to answer and what must be measured on equipment.