Projekter pr. år
Beskrivelse
In the Drapebot project, a worker is supposed to collaborate with a large industrial manipulator in two tasks: collaborative transport of carbon fibre patches and collaborative draping. To realize data-driven trust assessement, the worker is equipped with a motion tracking suit and the body movement data is labeled with the trust scores from a standard Trust questionnaire.
| Dato for tilgængelighed | 2 okt. 2023 |
|---|---|
| Forlag | Zenodo |
| Dato for datafremstilling | 2 okt. 2023 |
Projekter
- 1 Igangværende
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Drapebot: Collaborative Draping of Carbon Fiber Parts
01/01/2021 → 31/12/2024
Projekter: Projekt › Forskning
Publikation
- 3 Konferenceartikel i proceeding
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Automatic Trust Estimation From Movement Data in Industrial Human-Robot Collaboration Based on Deep Learning
Rehm, M., Pontikis, I. & Hald, K., 2024, (Accepteret/In press) Proceedings of ICRA 2024. IEEE, 6 s.Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
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Benchmark Movement Data Set for Trust Assessment in Human Robot Collaboration (Honourable Mention)
Rehm, M., Hald, K. & Pontikis, I., 11 mar. 2024, Proceedings of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI '24). IEEE, s. 934-938 5 s.Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
Åben adgang -
Determining Movement Measures for Trust Assessment in Human-Robot Collaboration Using IMU-Based Motion Tracking
Hald, K. & Rehm, M., 2023, 2023 32nd IEEE International Conference on Robot and Human Interactive Communication, RO-MAN 2023. IEEE, s. 1267-1272 6 s. (IEEE RO-MAN proceedings).Publikation: Bidrag til bog/antologi/rapport/konference proceeding › Konferenceartikel i proceeding › Forskning › peer review
1 Citationer (Scopus)