Unlocking Human-Robot Dynamics: Introducing SenseCobot, a Novel Multimodal Dataset on Industry 4.0-Reference-Cited by-同舟云学术

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Unlocking Human-Robot Dynamics: Introducing SenseCobot, a Novel Multimodal Dataset on Industry 4.0

Published:2024-03-11 Issue: Volume: Page:880-884
ISSN:
Container-title:Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction
language:
Short-container-title:

Author:

Borghi Simone¹^ORCID,Zucchi Federica²^ORCID,Prati Elisa²^ORCID,Ruo Andrea²^ORCID,Villani Valeria²^ORCID,Sabattini Lorenzo²^ORCID,Peruzzini Margherita³^ORCID

Affiliation:

1. Department of Engineering 'Enzo Ferrari', University of Modena and Reggio Emilia, Modena, Italy

2. Department of Sciences and Methods for Engineering, University of Modena and Reggio Emilia, Reggio Emilia, Italy

3. Department of Industrial Engineering, University of Bologna, Modena, Italy

Funder

University of Modena and Reggio Emilia

Ministero dell’Istruzione, dell’Università e della Ricerca

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3610977.3636440

Reference12 articles.

1. Cobots

2. A Systematic Literature Review of User Experience Evaluation Scales for Human-Robot Collaboration

3. Shirine El Zaatari Mohamed Marei Weidong Li and Zahid Usman. 2019. Cobot programming for collaborative industrial tasks: An overview. Rob. Auton. Syst. 116 (2019) 162--180. https://doi.org/10.1016/j.robot.2019.03.003

4. Stress in manual and autonomous modes of collaboration with a cobot

5. Human Work and Status Evaluation Based on Wearable Sensors in Human Factors and Ergonomics: A Review

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