Research Data Leeds Repository

Leeds Robotic Commands.

Alomari, Muhannad and Hogg, David C. and Cohn, Anthony G. (2017) Leeds Robotic Commands. University of Leeds. [Dataset] https://doi.org/10.5518/110

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 intelligence
Divisions:	Faculty of Engineering > School of Computing
Related resources:	Location Type http://eprints.whiterose.ac.uk/109107/ Publication http://www.aaai.org/Conferences/AAAI/2017/PreliminaryPapers/22-Alomari-14913.pdf Publication https://www.youtube.com/watch?v=gyfYGW_PAdc Audiovisual
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	02 Feb 2017 12:24
URI:	http://archive.researchdata.leeds.ac.uk/id/eprint/116
Additional details Additional details Creators: 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/0000-0002-6565-4887 Hogg, David C. https://orcid.org/0000-0002-6125-9564 Cohn, Anthony G. https://orcid.org/0000-0002-7652-8907 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 Address: scmara@leeds.ac.uk Last Modified: 05 Sep 2017 08:18

Files

Documentation

Dataset summary [3kB] Dataset summary [3kB] Dataset summary [3kB] Visible to: Anyone File name: readme.txt Content type: Documentation Mime-Type: text/plain File size: 3kB

Data

Scenes 1 to 50 [2GB] Scenes 1 to 50 [2GB] Scenes 1 to 50 [2GB] Visible to: Anyone File name: scenes1-50.zip 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] Scenes 51 to 100 [2GB] Scenes 51 to 100 [2GB] Visible to: Anyone File name: scenes51-100.zip 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] Scenes 101 to 150 [5GB] Scenes 101 to 150 [5GB] Visible to: Anyone File name: scenes101-150.zip 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] Scenes 151 to 204 [7GB] Scenes 151 to 204 [7GB] Visible to: Anyone File name: scenes151-204.zip 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] baxter_full.mp4 [73MB] baxter_full.mp4 [73MB] Visible to: Anyone File name: baxter_full.mp4 Content type: Data Mime-Type: video/mp4 License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 73MB

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