This HORUS architecture and performance-characterization paper has been accepted at I-RIM 3D 2026 in the SPAR Papers track.
The final paper link will be added after the proceedings metadata are available.
Mixed reality can support multi-robot supervision by presenting robot state, maps, sensing, and commands in the operator's workspace. Existing systems are often tied to specific robots, missions, or visualization pipelines. HORUS addresses this by using a registration-driven architecture in which robots declare their frames, sensors, maps, task interfaces, models, and teleoperation channels, and the MR runtime constructs the corresponding operator workspace.
The paper describes the HORUS stack, including the MR runtime, Python SDK, and ROS 2 bridge; shared and private multi-operator workspaces; and bridge-enforced per-robot control leases. It also characterizes latency, camera streams, map representations, command and transform rates, robot/operator workload configurations, bridge restart recovery, and an H-CoRE aerial-ground robot-team integration.
Provisional citation entry until the final Springer proceedings metadata are released.
@inproceedings{adekoya2026horusarchitecture,
title = {HORUS: Architecture and Performance Characterization of an Open-Source Mixed-Reality Platform for Heterogeneous Multi-Robot Operations},
author = {Adekoya, Omotoye Shamsudeen and D'Angelo, Simone and Pagano, Francesca and Lippiello, Vincenzo and Sgorbissa, Antonio and Recchiuto, Carmine Tommaso},
booktitle = {I-RIM 3D 2026, SPAR Papers Track},
year = {2026},
note = {Accepted; to appear in Springer Proceedings in Advanced Robotics}
}