RoboVisAR: Immersive Authoring of Condition-based AR Robot Visualisations

TY - GEN

T1 - RoboVisAR

T2 - Immersive Authoring of Condition-based AR Robot Visualisations

AU - Lunding, Rasmus Skovhus

AU - Lunding, Mille Skovhus

AU - Feuchtner, Tiare

AU - Petersen, Marianne Graves

AU - Grønbæk, Kaj

AU - Suzuki, Ryo

PY - 2024/3

Y1 - 2024/3

N2 - We introduce RoboVisAR, an immersive augmented reality (AR) authoring tool for in-situ robot visualisations. AR robot visualisations, such as the robot's movement path, status, and safety zones, have been shown to benefit human-robot collaboration. However, their creation requires extensive skills in both robotics and AR programming. To address this, RoboVisAR allows users to create custom AR robot visualisations without programming. By recording an example robot behaviour, users can design, combine, and test visualisations in-situ within a mixed reality environment. RoboVisAR currently supports six types of visualisations (Path, Point of Interest, Safety Zone, Robot State, Message, Force/Torque) and four types of conditions for when they are displayed (Robot State, Proximity, Box, Force/Torque). With this tool, users can easily present different visualisations on demand and make them context-aware to avoid visual clutter. An expert user study with three participants suggests that users appreciate the customizability of the visualisations, which could easily be authored in less than ten minutes.

AB - We introduce RoboVisAR, an immersive augmented reality (AR) authoring tool for in-situ robot visualisations. AR robot visualisations, such as the robot's movement path, status, and safety zones, have been shown to benefit human-robot collaboration. However, their creation requires extensive skills in both robotics and AR programming. To address this, RoboVisAR allows users to create custom AR robot visualisations without programming. By recording an example robot behaviour, users can design, combine, and test visualisations in-situ within a mixed reality environment. RoboVisAR currently supports six types of visualisations (Path, Point of Interest, Safety Zone, Robot State, Message, Force/Torque) and four types of conditions for when they are displayed (Robot State, Proximity, Box, Force/Torque). With this tool, users can easily present different visualisations on demand and make them context-aware to avoid visual clutter. An expert user study with three participants suggests that users appreciate the customizability of the visualisations, which could easily be authored in less than ten minutes.

KW - Augmented Reality

KW - Authoring

KW - Human-Robot Collaboration

KW - Human-Robot Interaction

U2 - 10.1145/3610977.3634972

DO - 10.1145/3610977.3634972

M3 - Article in proceedings

SP - 462

EP - 471

BT - HRI '2024

PB - Association for Computing Machinery

ER -