ARTHUR: Authoring Human-Robot Collaboration Processes with Augmented Reality using Hybrid User Interfaces
Rasmus Lunding, Sebastian Hubenschmid, Tiare Feuchtner, Kaj Grønbæk
TL;DR
ARTHUR addresses the challenge of authoring AR-guided human-robot collaboration (HRC) by introducing an open-source tool that enables in-situ AR authoring through a hybrid user interface. It provides three design components—Feedback, Actions, and Conditions—along with trackers/anchors, an MQTT-based service architecture, and a UR5e robot adapter to integrate robot data and control. The authors demonstrate ARTHUR's utility by replicating representative HRC scenarios and conducting a qualitative expert evaluation to assess usability and the viability of distributing authoring across desktop, tablet, and HMD devices. This work advances practical AR-HRC development by enabling rapid design, testing, and deployment of AR-guided workflows across multiple devices, with clear paths for extensibility and integration with PLM data and robot controllers.
Abstract
While augmented reality shows promise for supporting human-robot collaboration, creating such interactive systems still poses great challenges. Addressing this, we introduce ARTHUR, an open-source authoring tool for augmented reality-supported human-robot collaboration. ARTHUR supports 20 types of multi-modal feedback to convey robot, task, and system state, 10 actions that enable the user to control the robot and system, and 18 conditions for feedback customization and triggering of actions. By combining these elements, users can create interaction spaces, controls, and information visualizations in augmented reality for collaboration with robot arms. With ARTHUR, we propose to combine desktop interfaces and touchscreen devices for effective authoring, with head-mounted displays for testing and in-situ refinements. To demonstrate the general applicability of ARTHUR for human-robot collaboration scenarios, we replicate representative examples from prior work. Further, in an evaluation with five participants, we reflect on the usefulness of our hybrid user interface approach and the provided functionality, highlighting directions for future work.
