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
This item is part of the STRANDS 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 | ||||||||
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Subjects: | I000 - Computer sciences > I400 - Artificial intelligence | ||||||||
Divisions: | Faculty of Engineering > School of Computing | ||||||||
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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 | ||||||||