Data

FACT HRC (FACT-raw): a dataset of Wizard-of-Oz human-robot handovers and collaboration in Functional And Creative Tasks

Monash University
Akansel Cosgun (Aggregated by) Dana Kulić (Aggregated by) Kerry He (Aggregated by) Leimin Tian (Aggregated by) Shiyu (Eric) Xu (Aggregated by)
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ctx_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rfr_id=info%3Asid%2FANDS&rft_id=info:doi10.26180/21671789.v1&rft.title=FACT HRC (FACT-raw): a dataset of Wizard-of-Oz human-robot handovers and collaboration in Functional And Creative Tasks&rft.identifier=https://doi.org/10.26180/21671789.v1&rft.publisher=Monash University&rft.description=Dataset accompanying our paper titled Crafting with a Robot Assistant: Use Social Cues to Inform Adaptive Handovers in Human-Robot Collaboration.  This record contains one out of three segments of the FACT dataset, namely FACT-raw: Identifiable recordings as ROS bags, including all the synchronised raw data from the two camera feeds, the robot's status, the controls of the teleoperation framework, the estimates of facial and upper body keypoints from the RGB-D camera feed, and the emotion estimates from both camera feeds.  Please sign the EULA and send it to [email protected] for approval if you wish to gain access to FACT-raw. Thank you!&rft.creator=Akansel Cosgun&rft.creator=Dana Kulić&rft.creator=Kerry He&rft.creator=Leimin Tian&rft.creator=Shiyu (Eric) Xu&rft.date=2022&rft_rights=In Copyright&rft_subject=human-robot interaction&rft_subject=human-robot collaboration&rft_subject=Fetch robot&rft_subject=human-robot handover&rft_subject=social robotics&rft.type=dataset&rft.language=English Access the data
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Dataset accompanying our paper titled "Crafting with a Robot Assistant: Use Social Cues to Inform Adaptive Handovers in Human-Robot Collaboration". 


This record contains one out of three segments of the FACT dataset, namely FACT-raw:

Identifiable recordings as ROS bags, including all the synchronised raw data from the two camera feeds, the robot's status, the controls of the teleoperation framework, the estimates of facial and upper body keypoints from the RGB-D camera feed, and the emotion estimates from both camera feeds. 


Please sign the EULA and send it to [email protected] for approval if you wish to gain access to FACT-raw. Thank you!

Issued: 2022-12-14

Created: 2022-12-14

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Subjects
Fetch robot | human-robot collaboration | human-robot handover | human-robot interaction | social robotics |

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Identifiers
ACN 633 798 857