XRobot 2026: Workshop on Extended Reality (XR) in Robotics Call for Papers

We are pleased to invite submissions to 
XRobot 2026: Workshop on Extended Reality (XR) in Robotics
which will be held in conjunction with 
IEEE AIxVR 2026 from 
January 26 to 28 in 
Osaka, Japan.

Workshop website: https://sites.google.com/view/xrobot2025/home

About the Workshop
XRobot 2026 aims to bring together researchers, engineers, and
practitioners at the intersection of XR and robotics, exploring how
virtual, augmented, and mixed reality technologies can enhance robot
simulation, teleoperation, training, and human-robot
collaboration. Topics include (but are not limited to):

    XR for robot learning and simulation
    Digital twins and virtual testing environments
    Immersive interfaces for robot teleoperation
    Human-robot interaction through XR
    Safety, reproducibility, and benchmarking in XR robotics

Publication and Proceedings
Accepted papers will be published in the IEEE Xplore Digital Library
as part of the AIxVR 2026 proceedings.

Important Dates

    Paper submission deadline: November 17, 2025, AoE
    Notification of acceptance: November 28, 2025 AoE
    Camera-ready submission: Early December 2025
    Workshop date: January 26 - 28 at IEEE AIxVR 2026, Osaka

Submission Guidelines
Authors are invited to submit original contributions (up to 6 pages
including references) following the IEEE conference format. Details on
submission and formatting can be found on the workshop website:
https://sites.google.com/view/xrobot2025/call-for-papers

We warmly encourage members of the EU Robotics network to participate,
submit papers, and share this call with colleagues working on XR-based
robotics research and applications.

We look forward to your contributions and to seeing you at XRobot 2026 in Osaka!

Warm regards,
XRobot 2026 Organizing Committee

Natasha Kholgade Banerjee, PhD
Associate Professor, Department of Computer Science and Engineering
LexisNexis Endowed Co-Chair for Advanced Data Science and Engineering
Wright State University
Co-director, Terascale All-sensing Research Studio
Webpage: https://tars-home.github.io