10.26180/21671789.V1
Leimin Tian
Leimin
Tian
Monash University
Kerry He
Kerry
He
Shiyu (Eric) Xu
Shiyu (Eric)
Xu
Akansel Cosgun
Akansel
Cosgun
Dana Kulić
Dana
Kulić
FACT HRC (FACT-raw): a dataset of Wizard-of-Oz human-robot handovers and collaboration in Functional And Creative Tasks
<p>Dataset accompanying our HRI 2023 paper:</p>
<p>Leimin Tian, Kerry He, Shiyu Xu, Akansel Cosgun, and Dana Kulić. 2023. Crafting with a Robot Assistant: Use Social Cues to Inform Adaptive Handovers in Human-Robot Collaboration. In Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction (HRI '23), March 13–16, 2023, Stockholm, Sweden. ACM, New York, NY, USA, 9 pages. (<a href="https://dl.acm.org/doi/10.1145/3568162.3576998" target="_blank">ACM</a> copy, <a href="https://arxiv.org/abs/2301.02938#" target="_blank">arXiv</a> copy)</p>
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<p>This record contains one out of three segments of the FACT dataset, namely FACT-raw:</p>
<p><em>Identifiable</em> 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. (<a href="https://github.com/tianleimin/fetch-teleop/blob/main/data/rosbag2images.py" target="_blank">Here</a> is an example script if you want to save raw images or other information from the ROS bags to extract your own features instead of using the upper body keypoints and other extracted data in <a href="https://doi.org/10.26180/21671768.v1" target="_blank">FACT-processed</a>)</p>
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<p>Please sign the <a href="https://drive.google.com/file/d/1iaZ6OPdl7cfAeL8RwxvubQ4MWPx_I6JO/view?usp=share_link" target="_blank">EULA</a> and send it to <em>Leimin.Tian@monash.edu</em> for approval if you wish to gain access to FACT-raw. Thank you!</p>
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<h4>FACT-processed and FACT-support:</h4>
<p>Please see <a href="https://doi.org/10.26180/21671768.v1" target="_blank">https://doi.org/10.26180/21671768.v1</a> </p>
Social robotics
Intelligent robotics
Monash University
2022
2022-12-14
2023-04-21
Dataset
282419595115 Bytes
10.26180/21671789
In Copyright
Australian Research Council
https://ror.org/05mmh0f86
FT200100761
Interactive learning for robots in human environments