[ fleet operations for VLA robots ]
A VLA finishing its motion doesn't mean the task got done.
NERV is an AI agent that lets robotics companies operate large fleets of VLA-controlled robots with far less manual intervention. It checks that tasks are actually completed, investigates and recovers from failures, and propagates fixes to the entire fleet.
01 [ how it works ]
Flows handle the routine. The agent handles the rest.
For repetitive work, the agent builds automation flows: what the VLA should do at each step, and what must be checked before moving on. Routine situations and known recoveries run through these flows without calling the agent at every step.
- 01
Monitor
Monitors for task completion, stalls, and failures watch every run, alongside your own cameras, barcode scanners, and third-party models.
- 02
Investigate
When something unexpected happens, the agent reads the execution history, sensor data, and monitor outputs to work out what went wrong.
- 03
Recover
It attempts a recovery itself, proposes and tests a change to the automation flow, or escalates to a human when it has to.
- 04
Propagate
A fix that works on one robot is deployed to every robot doing the same job.
02 [ an example ]
The wrong object keeps ending up in the basket.
The agent finds that the flow checks whether the robot grasped something, but never what it grasped. It adds an identity check, tests that the change fixes the problem, and deploys it to the other robots doing the same job.
flow: pick-to-basket rev 12 → 13
- vla pick up the item
- check something is grasped
- check grasped item matches the order
- vla place it in the basket
- check item is in the basket
tested on 1 robot · deployed to fleet
03 [ get in touch ]
Already have robots and VLAs that can do the work?
Connect your robots and monitoring tools; our agent builds and operates the automation around your VLA. It runs in the cloud behind an API your robots call.
hello@nervrobotics.com