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Teach your robot a new task.

A robot learns from the right examples and data. We collect task-specific data, prepare datasets and train and test the robot on the actions you want it to perform.

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Data collection with the AGIBOT MEgo Gripper

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Data collection

Good training data shows how your task is performed. Organise recording, quality and storage before you start collecting at scale.

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01

The task determines the training

We define the actions, objects, variation and required performance. We then choose which existing skills can be used and which training is still needed.

02

Collecting and preparing data

Depending on the task, we use demonstrations, teleoperation, sensor data or simulation. We check the quality, organise the examples and record which situations the dataset covers.

03

Training the robot

We use the collected data to train the required skill. We keep track of which data, configuration and model version were used, so that results remain comparable.

04

Testing with new situations

We also test on objects and conditions outside the training examples. This shows what works reliably, when a human needs to intervene and what additional training is needed.

What you receive

The agreed dataset or trained skill, with test results and insight into the remaining limitations. Data ownership, processing and transfer are agreed in advance.

What we need from you

  • The task and desired outcome
  • Representative objects and variations
  • Robot model and available data
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