Research Data Leeds Repository

Mobile robot observing kitchen activities - University of Leeds

Citation

Duckworth, Paul and Alomari, Muhannad and Cohn, Anthony G. (2016) Mobile robot observing kitchen activities - University of Leeds. University of Leeds. [Dataset] https://doi.org/10.5518/86¹

This item is part of the STRANDS² collection.

This is the latest version of this item.

Dataset description

A collection of human detections captured using a mobile robot during one week patrolling a university staff and student common room and kitchen area. Data includes RGB images of detections, estimated skeleton pose from depth sensor, robot odometry and ground truth segmentation and labelling of activities.

Additional information:	This dataset was updated 28/07/2017 with revised readme files, a new file 'natural_language_annotations.zip' and a re-formatted version of the data (ataset_segmented.zip). Updated 15/08/2017 with Kitchen Object Location data (point_cloud_object_clusters.zip). Previous version http://archive.researchdata.leeds.ac.uk/68/
Keywords:	Machine learning for robotics; Qualitative Spatial Representations; Mobile Robotics; Unsupervised Learning
Subjects:	I000 - Computer sciences > I400 - Artificial intelligence3 H000 - Engineering > H600 - Electronic & electrical engineering > H670 - Robotics & cybernetics > H671 - Robotics4
Divisions:	Faculty of Engineering and Physical Sciences > School of Computing5
Related resources:	Location Type https://doi.org/10.3233/978-1-61499-672-9-10626 Publication https://eprints.whiterose.ac.uk/103049/7 Publication https://doi.org/10.1016/j.artint.2018.12.0058 Publication https://eprints.whiterose.ac.uk/140543/9 Publication
License:	Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited:	14 Aug 2017 20:05
URI:	https://archive.researchdata.leeds.ac.uk/id/eprint/23510
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 Duckworth, Paul https://orcid.org/0000-0001-9052-691911 University of Leeds https://ror.org/024mrxd33 ror Alomari, Muhannad https://orcid.org/0000-0002-6565-488712 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: STRANDS project 600623 Collection period: Date from Date to 5 April 2016 11 April 2016 Grant numbers: EU FP7 project 600623 Publication date: 2016 Legal and ethical issues: Some images are blurred for anonymisation, as per Ethics Approval. Resource language: English Metadata language: English Research project title: Spatio-Temporal Representation and Activities for Cognitive Control in Long-Term Scenarios (STRANDS) Publisher: University of Leeds Contact email: scpd@leeds.ac.uk14 Last Modified: 13 Aug 2024 10:11

Files

Documentation

Updated readme (pdf) [32kB] 15 Updated readme (pdf) [32kB] 16 Updated readme (pdf) [32kB] 17 Security: Anyone File name: updated_readme.pdf18 Content type: Documentation Description: Updated readme, July 2017 Mime-Type: application/pdf License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 32kB

Updated readme (markdown) [2kB] 19 Updated readme (markdown) [2kB] 20 Updated readme (markdown) [2kB] 21 Security: Anyone File name: updated_readme.md22 Content type: Documentation Description: Updated readme, July 2017 License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 2kB

Readme (pdf) [68kB] 23 Readme (pdf) [68kB] 24 Readme (pdf) [68kB] 25 Security: Anyone File name: readme.pdf26 Content type: Documentation Description: readme Mime-Type: application/pdf License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 68kB

Readme (markdown) [5kB] 27 Readme (markdown) [5kB] 28 Readme (markdown) [5kB] 29 Security: Anyone File name: readme.md30 Content type: Documentation Description: readme License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 5kB

Maps [36kB] 31 Maps [36kB] 32 Maps [36kB] 33 Security: Anyone File name: maps.zip34 Content type: Documentation Description: ROS Map Server map image; ROS Map Server map yaml file Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 36kB

List of anonymised files [3kB] 35 List of anonymised files [3kB] 36 List of anonymised files [3kB] 37 Security: Anyone File name: anonymous_video_list.txt38 Content type: Documentation Description: List of which files have been blurred to preserve anonymisation Mime-Type: text/plain License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3kB

Positions of semantic objects [847B] 39 Positions of semantic objects [847B] 40 Positions of semantic objects [847B] 41 Security: Anyone File name: semantic_object_positions42 Content type: Documentation Description: Map frame coordinates of position of semantic objects in the environment License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 847B

Data

Human detection data: 2016-04-05 [2GB] 43 Human detection data: 2016-04-05 [2GB] 44 Human detection data: 2016-04-05 [2GB] 45 Security: Anyone File name: 2016-04-05.zip46 Content type: Data Description: Recordings collected 2016-04-05. A total of 295 human detections were made over 5 dates. Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 2GB

Human detection data: 2016-04-06 [4GB] 47 Human detection data: 2016-04-06 [4GB] 48 Human detection data: 2016-04-06 [4GB] 49 Security: Anyone File name: 2016-04-06.zip50 Content type: Data Description: Recordings collected 2016-04-06. A total of 295 human detections were made over 5 dates. Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 4GB

Human detection data: 2016-04-07 [1GB] 51 Human detection data: 2016-04-07 [1GB] 52 Human detection data: 2016-04-07 [1GB] 53 Security: Anyone File name: 2016-04-07.zip54 Content type: Data Description: Recordings collected 2016-04-07. A total of 295 human detections were made over 5 dates. Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1GB

Human detection data: 2016-04-08 [1GB] 55 Human detection data: 2016-04-08 [1GB] 56 Human detection data: 2016-04-08 [1GB] 57 Security: Anyone File name: 2016-04-08.zip58 Content type: Data Description: Recordings collected 2016-04-08. A total of 295 human detections were made over 5 dates. Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1GB

Human detection data: 2016-04-11 [3GB] 59 Human detection data: 2016-04-11 [3GB] 60 Human detection data: 2016-04-11 [3GB] 61 Security: Anyone File name: 2016-04-11.zip62 Content type: Data Description: Recordings collected 2016-04-11. A total of 295 human detections were made over 5 dates. Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 3GB

Human detection data (reformatted) [6GB] 63 Human detection data (reformatted) [6GB] 64 Human detection data (reformatted) [6GB] 65 Security: Anyone File name: segmented_dataset.zip66 Content type: Data Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 6GB

Kitchen object locations [11kB] 67 Kitchen object locations [11kB] 68 Kitchen object locations [11kB] 69 Security: Anyone File name: point_cloud_object_clusters.zip70 Content type: Data Description: 44 locations of autonomously segmented kitchen objects perceived from a mobile robot's RGBD camera Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 11kB

Metadata

Citation [1kB] 71 Citation [1kB] 72 Citation [1kB] 73 Security: Anyone File name: citation74 Content type: Metadata Description: Bibtex citation file: Unsupervised Activity Recognition using Latent Semantic Analysis on a Mobile Robot. In: ECAI 2016: 22nd European Conference on Artificial Intelligence, 29 Aug - 02 Sep 2016, The Hague, Netherlands License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 1kB

Natural language annotation [363kB] 75 Natural language annotation [363kB] 76 Natural language annotation [363kB] 77 Security: Anyone File name: natural_language_annotations.zip78 Content type: Metadata Description: Text annotations used to learn natural language from vision Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 363kB

Program

ROS Message [731B] 79 ROS Message [731B] 80 ROS Message [731B] 81 Security: Anyone File name: msg_definitions.zip82 Content type: Program Description: ROS Message definition: joint_message; ROS Message definition: skeleton_complete; ROS Message definition: skeleton_message Mime-Type: application/zip License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 731B

Create Skeleton Images Python script [5kB] 83 Create Skeleton Images Python script [5kB] 84 Create Skeleton Images Python script [5kB] 85 Security: Anyone File name: create_sk_images.py86 Content type: Program Description: Python script to create RGB images with tracked skeleton points overlaid. License: Creative Commons Attribution 4.0 International (CC BY 4.0) File size: 5kB

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