Published March 8, 2022 | Version v1
Dataset Open

Video-Trajectory Robot Dataset

  • 1. Jozef Stefan Institute

Description

This dataset consists of color and depth videos of Panda robot motions and their corresponding joint and Cartesian trajectories. The dataset also includes the trajectories of a receiver robot for the purpose of an object handover. Each motion sample comprises 6 files (RGB video, depth video and 4 giver/receiver trajectories in time series form). Total number of motion samples: 38393.

Structure: MPEG-4 videos of robot motion and corresponding Python serialized (or “pickled”) files, containing joint and Cartesian trajectories. Dataset is divided into four parts:  simulation dataset (PandaHandover_Sim.zip), real train dataset (PandaHandover_Real_Train.zip), real validation dataset (PandaHandover_Real_Val.zip), real test dataset (PandaHandover_Real_Test.zip). Extract using 7-Zip or similar software. Video files (.avi) can be opened using VLC media player or any other video player that supports MPEG-4 codec. The .pkl files can be loaded using Python (>=3.7) and the Python library Pandas (>=1.1.3).

Files

PandaHandover_Real_Test.zip

Files (9.6 GB)

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md5:c388f42933948c56e4fae5b339865edd
305.3 MB Preview Download
md5:357216b610b5220ecfac31112d5a4dfd
2.7 GB Preview Download
md5:c3af4d02e686084c28d6dd7bc12cb059
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md5:8784675e7879b7db9501faf83ef963ff
6.3 GB Preview Download

Additional details

Funding

ReconCycle – Self-reconfiguration of a robotic workcell for the recycling of electronic waste 871352
European Commission
TRINITY – Digital Technologies, Advanced Robotics and increased Cyber-security for Agile Production in Future European Manufacturing Ecosystems 825196
European Commission