A 3D Mixed Reality Interface for Human-Robot Teaming
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Abstract (arXiv)
This paper presents a mixed-reality human-robot teaming system. It allows human operators to see in real-time where robots are located, even if they are not in line of sight. The operator can also visualize the map that the robots create of their environment and can easily send robots to new goal positions. The system mainly consists of a mapping and a control module. The mapping module is a real-time multi-agent visual SLAM system that co-localizes all robots and mixed-reality devices to a common reference frame. Visualizations in the mixed-reality device then allow operators to see a virtual life-sized representation of the cumulative 3D map overlaid onto the real environment. As such, the operator can effectively "see through" walls into other rooms. To control robots and send them to new locations, we propose a drag-and-drop interface. An operator can grab any robot hologram in a 3D mini map and drag it to a new desired goal pose. We validate the proposed system through a user study and real-world deployments. We make the mixed-reality application publicly available at https://github.com/cvg/HoloLens_ros.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 Oct 2023.
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Citing papers per year: 2023: 1; 2024: 0; 2025: 4; 2026: 1.
6 papers.
- 2025VidBot: Learning Generalizable 3D Actions from In-the-Wild 2D Human Videos for Zero-Shot Robotic Manipulationcited by 46
- 2025FrontierNet: Learning Visual Cues to Explorecited by 12
- 2023Active Visual Localization for Multi-Agent Collaboration: A Data-Driven Approachcited by 3
- 2025ActLoc: Learning to Localize on the Move via Active Viewpoint Selectioncited by 2
- 2025Sight Over Site: Perception-Aware Reinforcement Learning for Efficient Robotic Inspectioncited by 1
- 2026fARfetch: Enabling Collocated AR-HRC in Large Visually Diverse Environments with VLM-Driven AR Content Adaptationcited by 0
- 2026fARfetch: Enabling Collocated AR-HRC in Large Visually Diverse Environments with VLM-Driven AR Content Adaptation23 Jun 2026
- 2025Sight Over Site: Perception-Aware Reinforcement Learning for Efficient Robotic Inspection22 Sep 2025
- 2025ActLoc: Learning to Localize on the Move via Active Viewpoint Selection28 Aug 2025
- 2025VidBot: Learning Generalizable 3D Actions from In-the-Wild 2D Human Videos for Zero-Shot Robotic Manipulation10 Mar 2025
- 2025FrontierNet: Learning Visual Cues to Explore8 Jan 2025
- 2023Active Visual Localization for Multi-Agent Collaboration: A Data-Driven Approach4 Oct 2023