Traditional robots need programmers. AI robots need demonstrations. You show the robot what to do. It learns. No code. No consultants.
How it works
A person performs the task while wearing a VR headset. The headset captures hand movements and actions. The robot observes and builds an internal model of the task. This is possible because of end-to-end AI, a single neural network that processes vision, robot state, and task instructions together.
Who does the training
This can be anyone, really. The onboarding process of the robot is very lightweight. You do not need to reserve dedicated personnel. A floor worker, supervisor, or operations manager can run a training session.
How long it takes
A robot can be onboarded in a few hours. After training, it starts working. No weeks of testing. No extended ramp-up periods.
Real examples
Tasks we have trained:
- Picking polybags from totes
- Deformable objects handling, including food
- Picking orders with varying SKUs, fully autonomous
The same training approach applies to new tasks. Show the robot, and it will learn. For the full list of warehouse tasks AI robots can handle, including packaging and value added services, see the task overview.
When the robot struggles
An automatic failure detection algorithm monitors performance. If the robot fails to complete a task, a recovery model activates. The robot corrects itself without human intervention.
This keeps operations running. Your team handles exceptions only when needed.
See robot training in action.
Book a live demo.
Watch how fast your team can onboard a robot to a new task.
