%0 Conference Paper
%A Li, Ke
%A Bacher, Reinhard
%A Schmidt, Susanne
%A Leemans, Wim
%A Steinicke, Frank
%T Reality Fusion: Robust Real-time Immersive Mobile Robot Teleoperation with Volumetric Visual Data Fusion
%C [Piscataway, NJ]
%I IEEE
%M PUBDB-2025-02145
%@ 979-8-3503-7770-5
%P 8982 - 8989
%D 2024
%Z Literaturangaben;
%< [Ebook] 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems / IROS'24, Abu Dhabi, 14-18 October 2024 ; partners: IEEE, RSJ [und drei weitere] , [Piscataway, NJ] : IEEE, 2024,
%X We introduce Reality Fusion, a novel robot teleoperation system that localizes, streams, projects, and merges a typical onboard depth sensor with a photorealistic, high resolution, high framerate, and wide FoV rendering of the complex remote environment represented as 3D Gaussian splats (3DGS). Our framework enables robust egocentric and exocentric robot teleoperation in immersive VR, with the 3DGS effectively extending spatial information of a depth sensor with limited FoV and balancing the trade-off between data streaming costs and data visual quality. We evaluated our framework through a user study with 24 participants, which revealed that Reality Fusion leads to significantly better user performance, situation awareness, and user preferences. To support further research and development, we provide an open-source implementation with an easy-to-replicate custom-made telepresence robot, a high-performance virtual reality 3DGS renderer, and an immersive robot control package.1
%B 2024 IEEE/RSJ International Conference on Intelligent Robots and Systems 
%C 14 Oct 2024 - 18 Oct 2024, Abu Dhabi (United Arab Emirates)
Y2 14 Oct 2024 - 18 Oct 2024
M2 Abu Dhabi, United Arab Emirates
%F PUB:(DE-HGF)8 ; PUB:(DE-HGF)7
%9 Contribution to a conference proceedingsContribution to a book
%R 10.1109/IROS58592.2024.10802431
%U https://bib-pubdb1.desy.de/record/632217