Logo des Repositoriums
 

Augmented Reality-Assisted Multi-Robot Programming with Collision Warning

dc.contributor.authorMazur, Janet
dc.contributor.authorYigitbas, Enes
dc.date.accessioned2024-08-21T11:08:38Z
dc.date.available2024-08-21T11:08:38Z
dc.date.issued2024
dc.description.abstractDelivery tasks and environmental exploration commonly utilize multi-robot systems. However, programming robots still requires a high level of expertise and knowledge. Therefore, the application of Augmented Reality (AR) has shown promise in aiding robot programming, enabling the user to operate within the robot's space and view robot data and information. Most approaches focus on programming single-robot manipulators or mobile robots. To also offer the programming of multiple collaboratively working robots, we propose EURAPS*, an extension of the existing EURAPS framework. As a feature, we integrate a collision warning to assist the programmer in collision-free multi-robot programming. We conducted a user study to evaluate our system's effectiveness in detecting collisions among mobile robots. The results show that the collision warning assists the user in avoiding robot collisions. Further research is needed to focus on more reliable robot tracking for precise recognition and collision warning with other obstacles.en
dc.identifier.doi10.18420/muc2024-mci-ws11-186
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/44315
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofMensch und Computer 2024 - Workshopband
dc.relation.ispartofseriesMensch und Computer
dc.rightshttp://purl.org/eprint/accessRights/RestrictedAccess
dc.rights.urihttp://purl.org/eprint/accessRights/RestrictedAccess
dc.titleAugmented Reality-Assisted Multi-Robot Programming with Collision Warningen
dc.typeText/Workshop Paper
gi.conference.date1.-4. September 2024
gi.conference.locationKarlsruhe
gi.conference.sessiontitleMCI-WS11: ABIS 2024 - International Workshop on Personalization and Recommendation

Dateien

Originalbündel
1 - 1 von 1
Lade...
Vorschaubild
Name:
muc2024-mci-ws11-186.pdf
Größe:
1.07 MB
Format:
Adobe Portable Document Format