Failure-response collection
Collect training data around real robot failures.
When a robot cannot complete a task, a Nuuduu professional performs the work in the same environment. That demonstration becomes structured training data — and a request for similar episodes across the Nuuduu network.
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Share the failure
Send the task, object, environment or situation the robot cannot reliably handle. Robot deployments reveal exactly where models need more data.
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Human demonstration on site
A Nuuduu professional steps in and performs the same task in the robot’s actual operating environment — capturing the geometry, tools, lighting and conditions that caused the difficulty.
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Capture the episode
The demonstration is recorded as structured robotics training data: synchronized sensor streams, task metadata and episode boundaries ready for downstream pipelines.
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Search Atlas, then collect what is missing
Nuuduu searches Atlas for related examples and can send a targeted request to professionals in the network for additional demonstrations of similar tasks and environments.
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Quality control and segmentation
Recordings are reviewed, synchronized and cut into task-level episodes suitable for training, fine-tuning, evaluation or reinforcement learning.
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Deliver a targeted dataset
Receive the original failure-response episode together with related Atlas examples and newly collected variation — as MCAP logs, derived datasets and annotations.
What robotics teams can specify
Collection can be scoped around the failure mode, not a generic task list.
Start collection
Request training data
Share a task, failure case or data requirement. We can search Atlas for relevant episodes and launch targeted collection through the Nuuduu network.