Enhancing robot behavior with EEG, reinforcement learning and beyond: a review of techniques in collaborative robotics

Vista sencilla de ítem
dc.contributor.authorGonzález Santocildes, Asier
dc.contributor.authorVazquez, Juan-Ignacio
dc.contributor.authorEguíluz, Andoni
dc.date.accessioned2025-05-28T08:25:30Z
dc.date.available2025-05-28T08:25:30Z
dc.date.issued2024-07-20
dc.date.updated2025-05-28T08:25:30Z
dc.description.abstractCollaborative robotics is a major topic in current robotics research, posing new challenges, especially in human–robot interaction. The main aspect in this area of research focuses on understanding the behavior of robots when engaging with humans, where reinforcement learning is a key discipline that allows us to explore sophisticated emerging reactions. This review aims to delve into the relevance of different sensors and techniques, with special attention to EEG (electroencephalography data on brain activity) and its influence on the behavior of robots interacting with humans. In addition, mechanisms available to mitigate potential risks during the experimentation process such as virtual reality are also be addressed. In the final part of the paper, future lines of research combining the areas of collaborative robotics, reinforcement learning, virtual reality, and human factors are explored, as this last aspect is vital to ensuring safe and effective human–robot interactions.en
dc.description.sponsorshipThis research was supported by the project ACROBA, which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 101017284, and the project EGIA which has received funding from the ELKARTEK programme from the Basque Governmenten
dc.identifier.citationGonzalez-Santocildes, A., Vazquez, J.-I., & Eguiluz, A. (2024). Enhancing robot behavior with EEG, reinforcement learning and beyond: a review of techniques in collaborative robotics [Review of enhancing robot behavior with EEG, reinforcement learning and beyond: a review of techniques in collaborative robotics]. Applied Sciences (Switzerland), 14(14). Multidisciplinary Digital Publishing Institute (MDPI). https://doi.org/10.3390/APP14146345
dc.identifier.doi10.3390/APP14146345
dc.identifier.eissn2076-3417
dc.identifier.urihttps://hdl.handle.net/20.500.14454/2847
dc.language.isoeng
dc.publisherMultidisciplinary Digital Publishing Institute (MDPI)
dc.rights© 2024 by the authors
dc.subject.otherAgents
dc.subject.otherApplied artificial intelligence
dc.subject.otherHuman–robot collaboration
dc.subject.otherHuman–robot interaction
dc.subject.otherRobotics
dc.titleEnhancing robot behavior with EEG, reinforcement learning and beyond: a review of techniques in collaborative roboticsen
dc.typereview article
dcterms.accessRightsopen access
oaire.citation.issue14
oaire.citation.titleApplied Sciences (Switzerland)
oaire.citation.volume14
oaire.licenseConditionhttps://creativecommons.org/licenses/by/4.0/
oaire.versionVoR
Archivos
Bloque original
Mostrando 1 - 1 de 1
Miniatura
Nombre:
gonzalez_enhancing_2024.pdf
Tamaño:
2.17 MB
Formato:
Adobe Portable Document Format
Descargar
Colecciones
Artículos