Datasets › A robot dataset of successful and failed placement executions

A robot dataset of successful and failed placement executions

Introduced by Santosh Thoduka et al. in Using Visual Anomaly Detection for Task Execution Monitoring3 Mar 2021 archive 2025-07-28

The dataset contains the following data from successful and failed executions of the Toyota HSR robot placing a book on a shelf.

  • RGB images from the robot's head camera
  • Depth images from the robot's head camera
  • Rendered images of the robot's 3D model from the point of view of the robot's head camera
  • Force-torque readings from a wrist-mounted force-torque sensor
  • Joint efforts, velocities and positions
  • extrinsic and intrinsic camera calibration parameters
  • frame-level anomaly annotations

The anomalies that occur during execution include:

  • the manipulated book falling down
  • books on the shelf being disturbed significantly
  • camera occlusions
  • robot being disturbed by an external collision

The dataset is split into a train, validation and test set with the following number of trials:

  • Train: 48 successful trials
  • Validation: 6 successful trials
  • Test: 60 anomalous trials and 7 successful trials

Benchmarks archive 2025-07-28

No leaderboard in the archive resolves to this dataset.

Papers archive 2025-07-28

No paper in the archive has a leaderboard row on this dataset; the archive counts 1 paper for it but never published that list.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

No task tagged in the archive.

License archive 2025-07-28

Creative Commons Attribution 4.0 International Public License

Modalities archive 2025-07-28

No modality tagged.

Languages archive 2025-07-28

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Variants archive 2025-07-28

  • A robot dataset of successful and failed placement executions

1 variant name, as the archive lists them.

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