Research Data Leeds Repository

Leeds Robotic Commands.

Citation

Alomari, Muhannad and Hogg, David C. and Cohn, Anthony G. (2017) Leeds Robotic Commands. University of Leeds. [Dataset] https://doi.org/10.5518/110¹

This item is part of the STRANDS² collection.

Dataset description

Leeds Robotic Commands is a dataset of real-world RGB-D scenes of a robot manipulating different objects together with natural language descriptions of these actions. The scenes were recorded using a Microsoft Kinect2 sensor, and the descriptions were annotated by non-expert volunteers. The dataset includes 204 videos consisting of 17,373 frames in total. The dataset contains a total of 1024 commands, average of five-per video. A total of 51 different objects are manipulated in the videos such as basic block shapes, fruits, cutlery, and office supplies.

Keywords:	Machine learning for robotics; Qualitative Spatial Representations; Mobile Robotics; Unsupervised Learning
Subjects:	I000 - Computer sciences > I400 - Artificial intelligence3
Divisions:	Faculty of Engineering and Physical Sciences > School of Computing4
Related resources:	Location Type https://doi.org/10.1609/aaai.v31i1.111615 Publication https://eprints.whiterose.ac.uk/109107/6 Publication https://www.youtube.com/watch?v=gyfYGW_PAdc7 Audiovisual https://doi.org/10.1016/j.artint.2021.1036378 Publication https://eprints.whiterose.ac.uk/181078/9 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	02 Feb 2017 12:24
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/11610
Additional details Additional details Creators or authors: Creators ORCID Other ID Email Primary affiliation Primary affiliation ID Primary affiliation ID type Secondary affiliation Secondary affiliation ID Secondary affiliation ID type Alomari, Muhannad https://orcid.org/0000-0002-6565-488711 University of Leeds https://ror.org/024mrxd33 ror Hogg, David C. https://orcid.org/0000-0002-6125-956412 University of Leeds https://ror.org/024mrxd33 ror Cohn, Anthony G. https://orcid.org/0000-0002-7652-890713 University of Leeds https://ror.org/024mrxd33 ror Type of data: Dataset Research funders: EU FP7 Grant numbers: EU FP7 project 600623 Publication date: 2017 Resource language: English Metadata language: English Research project title: STRANDS Publisher: University of Leeds Contact email: scmara@leeds.ac.uk14 Last Modified: 21 Aug 2024 07:59

Files

Documentation

Dataset summary [3kB] 15 Dataset summary [3kB] 16 Dataset summary [3kB] 17 Security: Anyone File name: readme.txt18 Content type: Documentation Mime-Type: text/plain File size: 3kB

Data

Scenes 1 to 50 [2GB] 19 Scenes 1 to 50 [2GB] 20 Scenes 1 to 50 [2GB] 21 Security: Anyone File name: scenes1-50.zip22 Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 2GB

Scenes 51 to 100 [2GB] 23 Scenes 51 to 100 [2GB] 24 Scenes 51 to 100 [2GB] 25 Security: Anyone File name: scenes51-100.zip26 Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 2GB

Scenes 101 to 150 [5GB] 27 Scenes 101 to 150 [5GB] 28 Scenes 101 to 150 [5GB] 29 Security: Anyone File name: scenes101-150.zip30 Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 5GB

Scenes 151 to 204 [7GB] 31 Scenes 151 to 204 [7GB] 32 Scenes 151 to 204 [7GB] 33 Security: Anyone File name: scenes151-204.zip34 Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 7GB

baxter_full.mp4 [73MB] 35 baxter_full.mp4 [73MB] 36 baxter_full.mp4 [73MB] 37 Security: Anyone File name: baxter_full.mp438 Content type: Data Mime-Type: video/mp4 License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 73MB

tracking.mp4 [5MB] 39 tracking.mp4 [5MB] 40 tracking.mp4 [5MB] 41 Security: Anyone File name: tracking.mp442 Content type: Data Mime-Type: video/mp4 License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 5MB

• 1. https://doi.org/10.5518/110
• 2. /view/collections/STRANDS.html
• 3. https://archive.researchdata.leeds.ac.uk/view/subjects/I400.html
• 4. https://archive.researchdata.leeds.ac.uk/view/divisions/SC/
• 5. https://doi.org/10.1609/aaai.v31i1.11161
• 6. https://eprints.whiterose.ac.uk/109107/
• 7. https://www.youtube.com/watch?v=gyfYGW_PAdc
• 8. https://doi.org/10.1016/j.artint.2021.103637
• 9. https://eprints.whiterose.ac.uk/181078/
• 10. https://archive.researchdata.leeds.ac.uk/id/eprint/116
• 11. https://orcid.org/0000-0002-6565-4887
• 12. https://orcid.org/0000-0002-6125-9564
• 13. https://orcid.org/0000-0002-7652-8907
• 14. mailto:scmara@leeds.ac.uk
• 15. https://archive.researchdata.leeds.ac.uk/116/1/readme.txt
• 16. https://archive.researchdata.leeds.ac.uk/116/1/readme.txt
• 17. https://archive.researchdata.leeds.ac.uk/116/1/readme.txt
• 18. https://archive.researchdata.leeds.ac.uk/116/1/readme.txt
• 19. https://archive.researchdata.leeds.ac.uk/116/2/scenes1-50.zip
• 20. https://archive.researchdata.leeds.ac.uk/116/2/scenes1-50.zip
• 21. https://archive.researchdata.leeds.ac.uk/116/2/scenes1-50.zip
• 22. https://archive.researchdata.leeds.ac.uk/116/2/scenes1-50.zip
• 23. https://archive.researchdata.leeds.ac.uk/116/4/scenes51-100.zip
• 24. https://archive.researchdata.leeds.ac.uk/116/4/scenes51-100.zip
• 25. https://archive.researchdata.leeds.ac.uk/116/4/scenes51-100.zip
• 26. https://archive.researchdata.leeds.ac.uk/116/4/scenes51-100.zip
• 27. https://archive.researchdata.leeds.ac.uk/116/5/scenes101-150.zip
• 28. https://archive.researchdata.leeds.ac.uk/116/5/scenes101-150.zip
• 29. https://archive.researchdata.leeds.ac.uk/116/5/scenes101-150.zip
• 30. https://archive.researchdata.leeds.ac.uk/116/5/scenes101-150.zip
• 31. https://archive.researchdata.leeds.ac.uk/116/6/scenes151-204.zip
• 32. https://archive.researchdata.leeds.ac.uk/116/6/scenes151-204.zip
• 33. https://archive.researchdata.leeds.ac.uk/116/6/scenes151-204.zip
• 34. https://archive.researchdata.leeds.ac.uk/116/6/scenes151-204.zip
• 35. https://archive.researchdata.leeds.ac.uk/116/7/baxter_full.mp4
• 36. https://archive.researchdata.leeds.ac.uk/116/7/baxter_full.mp4
• 37. https://archive.researchdata.leeds.ac.uk/116/7/baxter_full.mp4
• 38. https://archive.researchdata.leeds.ac.uk/116/7/baxter_full.mp4
• 39. https://archive.researchdata.leeds.ac.uk/116/8/tracking.mp4
• 40. https://archive.researchdata.leeds.ac.uk/116/8/tracking.mp4
• 41. https://archive.researchdata.leeds.ac.uk/116/8/tracking.mp4
• 42. https://archive.researchdata.leeds.ac.uk/116/8/tracking.mp4