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dc.contributor.authorGrushko, Stefan
dc.contributor.authorVysocký, Aleš
dc.contributor.authorOščádal, Petr
dc.contributor.authorVocetka, Michal
dc.contributor.authorNovák, Petr
dc.contributor.authorBobovský, Zdenko
dc.date.accessioned2021-09-06T08:21:59Z
dc.date.available2021-09-06T08:21:59Z
dc.date.issued2021
dc.identifier.citationSensors. 2021, vol. 21, issue 11, art. no. 3673.cs
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10084/145152
dc.description.abstractIn a collaborative scenario, the communication between humans and robots is a fundamental aspect to achieve good efficiency and ergonomics in the task execution. A lot of research has been made related to enabling a robot system to understand and predict human behaviour, allowing the robot to adapt its motion to avoid collisions with human workers. Assuming the production task has a high degree of variability, the robot's movements can be difficult to predict, leading to a feeling of anxiety in the worker when the robot changes its trajectory and approaches since the worker has no information about the planned movement of the robot. Additionally, without information about the robot's movement, the human worker cannot effectively plan own activity without forcing the robot to constantly replan its movement. We propose a novel approach to communicating the robot's intentions to a human worker. The improvement to the collaboration is presented by introducing haptic feedback devices, whose task is to notify the human worker about the currently planned robot's trajectory and changes in its status. In order to verify the effectiveness of the developed human-machine interface in the conditions of a shared collaborative workspace, a user study was designed and conducted among 16 participants, whose objective was to accurately recognise the goal position of the robot during its movement. Data collected during the experiment included both objective and subjective parameters. Statistically significant results of the experiment indicated that all the participants could improve their task completion time by over 45% and generally were more subjectively satisfied when completing the task with equipped haptic feedback devices. The results also suggest the usefulness of the developed notification system since it improved users' awareness about the motion plan of the robot.cs
dc.language.isoencs
dc.publisherMDPIcs
dc.relation.ispartofseriesSensorscs
dc.relation.urihttps://doi.org/10.3390/s21113673cs
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.cs
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/cs
dc.subjecthuman robot collaborationcs
dc.subjecthuman robot interactioncs
dc.subjectpath planningcs
dc.subjectbidirectional awarenesscs
dc.subjecthaptic feedback devicecs
dc.subjecthuman machine interfacecs
dc.titleImproved mutual understanding for human-robot collaboration: Combining human-aware motion planning with haptic feedback devices for communicating planned trajectorycs
dc.typearticlecs
dc.identifier.doi10.3390/s21113673
dc.rights.accessopenAccesscs
dc.type.versionpublishedVersioncs
dc.type.statusPeer-reviewedcs
dc.description.sourceWeb of Sciencecs
dc.description.volume21cs
dc.description.issue11cs
dc.description.firstpageart. no. 3673cs
dc.identifier.wos000660660400001


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Zobrazit minimální záznam

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.
Kromě případů, kde je uvedeno jinak, licence tohoto záznamu je © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.