4–6 pages
+ up to 1 page of references
Research papers should present original research related to the design, implementation, or evaluation of XR interfaces for Physical AI and embodied robotic systems.
Help shape how people interact with intelligent physical agents.
XR4PAI: Extended Reality Interfaces for Physical AI and Embodied Robots
Workshop at IEEE VR 2027, Melbourne, Australia
As physical AI and embodied robotic systems become increasingly capable and autonomous, a key challenge for the Extended Reality (XR) community is how immersive and spatial interfaces can support effective human interaction with intelligent physical agents.
XR offers a powerful interaction layer by combining immersive visualisation, spatial computing, 3D interaction, embodiment, and multimodal feedback. These capabilities are enabling new approaches to robot teleoperation, teaching, shared autonomy, supervision, intent visualisation, digital twins, and human–robot collaboration. However, research in these areas remains distributed across the XR, robotics, human–robot interaction (HRI), and artificial intelligence (AI) communities.
XR4PAI: Extended Reality Interfaces for Physical AI and Embodied Robots aims to bring these communities together and explore XR as the human interaction layer for increasingly intelligent physical systems.
The workshop is centred around the question:
How can extended reality interfaces enable humans to effectively control, teach, supervise, understand, and collaborate with increasingly autonomous physical robots and embodied AI systems?
XR4PAI welcomes research spanning direct teleoperation, human-in-the-loop interaction, shared autonomy, and increasingly autonomous Physical AI systems, with a focus on the design and evaluation of effective XR interfaces for embodied intelligence.
We invite contributions addressing the design, development, and evaluation of XR interfaces for Physical AI and embodied robotic systems. Topics include, but are not limited to:
We particularly encourage contributions that investigate how established and emerging concepts from XR and 3D user interaction can shape the way humans interact with the next generation of intelligent physical systems.
XR4PAI welcomes two categories of paper submissions.
+ up to 1 page of references
Research papers should present original research related to the design, implementation, or evaluation of XR interfaces for Physical AI and embodied robotic systems.
+ up to 1 page of references
Position papers may present emerging ideas, early-stage research, conceptual frameworks, critical perspectives, open research challenges, or future research directions. We particularly welcome contributions that identify research gaps, challenge existing interaction paradigms, or propose new approaches for XR interaction with increasingly autonomous embodied systems.
All submissions must:
Papers must be submitted electronically through the XR4PAI 2027 EasyChair submission portal.
Submissions will undergo a single-blind peer-review process, with each paper reviewed by at least two reviewers with relevant expertise.
Author names and affiliations remain in the submitted paper. Reviewer identities are not disclosed to authors.
Accepted papers will be published in the IEEE Digital Library as part of the IEEE VR Abstract and Workshop proceedings, subject to meeting IEEE and conference publication requirements.
It is mandatory for at least one author from each accepted paper to register, attend, and present their work at XR4PAI 2027.
All deadlines are 23:59:59 Anywhere on Earth (AoE), UTC−12.
The exact XR4PAI date and session are to be confirmed.
Paper submissions are managed through EasyChair.
Submit via EasyChair ↗Further information and updates are available on the XR4PAI workshop homepage. Visit the Programme page for the workshop agenda.
For enquiries, please contact Dr Elena Marie Vella (emvella@swin.edu.au) or Dr Mariadas Capsran Roshan (mroshan@swin.edu.au).