Resumen
Collaborative part transportation is an interesting application as many industrial sectors require moving large parts among different areas of the workshops, using a large amount of the workforce on this tasks. Even so, the implementation of such kinds of robotic solutions raises technical challenges like force-based control or robot-to-human feedback. This paper presents a path-driven mobile co-manipulation architecture, proposing an algorithm that deals with all the steps of collaborative part transportation. Starting from the generation of force-based twist commands, continuing with the path management for the definition of safe and collaborative areas, and finishing with the feedback provided to the system users, the proposed approach allows creating collaborative lanes for the conveyance of large components. The implemented solution and performed tests show the suitability of the proposed architecture, allowing the creation of a functional robotic system able to assist operators transporting large parts on workshops.
| Idioma original | Inglés |
|---|---|
| Número de artículo | 6620 |
| Páginas (desde-hasta) | 6620 |
| Número de páginas | 1 |
| Publicación | Sensors |
| Volumen | 21 |
| N.º | 19 |
| DOI | |
| Estado | Publicada - 5 oct 2021 |
ODS de las Naciones Unidas
Este resultado contribuye a los siguientes Objetivos de Desarrollo Sostenible
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ODS 9: Industria, innovación e infraestructura
Palabras clave
- Mobile co-manipulation
- Force control
- Human-robot interaction
- Robotic application
- Assistant robots
Project and Funding Information
- Project ID
- info:eu-repo/grantAgreement/EC/H2020/820689/EU/Seamless and safe human - centred robotic applications for novel collaborative workplaces/SHERLOCK
- Funding Info
- This work has received funding from the European Union Horizon 2020 research and innovation programme as part of the project SHERLOCK under grant agreement No 820689.
Huella
Profundice en los temas de investigación de 'Path Driven Dual Arm Mobile Co-Manipulation Architecture for Large Part Manipulation in Industrial Environments'. En conjunto forman una huella única.Conjuntos de datos
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Mobile co-manipulation data
Ibarguren Soldevilla, A. (Creador), Zenodo, 5 ago 2021
DOI: 10.5281/zenodo.5163197, https://cordis.europa.eu/project/id/820689
Dataset: Conjunto de datos
Archivo
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