Leveraging Immersive Technologies for Sustainable Industry 5.0
Main contact: Ingrid Winkler, ingrid.winkler@doc.senaicimatec.edu.br
Abstract: Our planet faces unprecedented sustainability challenges, necessitating innovative solutions aligned with the UN's Sustainable Development Goals (SDGs). This workshop highlights the transformative potential of immersive technologies in addressing SDG 12, which calls for Sustainable Consumption and Production Patterns. XR technologies have proven effective in advancing SDG 5 (Gender Equality), SDG 13 (Climate Action), and SDG 8 (Decent Work for All). Despite their potential, XR is underutilized in addressing SDG 12 targets such as responsible management of natural resources (12.2), reducing food waste (12.3), substantial waste reduction (12.5), promoting sustainable lifestyles (12.8), supporting developing countries' capacity for sustainable practices (12.9), and promoting sustainable tourism (12.A). Generative AI for creating immersive experiences also offers significant opportunities for sustainable industrial processes. Creating these experiences is still complex for those without knowledge in 3D modeling or programming, such as digital creators, teachers, doctors, engineers, and other professionals. By making the development of immersive experiences more intuitive and accessible, generative AI can contribute to more sustainable production and consumption overall. Thus, this workshop brings together researchers, developers, technology providers, industry professionals, policymakers, and end-users to identify actionable strategies and share best practices, aiming for a sustainable future through XR solutions.
Website: https://sites.google.com/doc.senaicimatec.edu.br/aixr-for-industry50/home

XRiM - XR technologies in Museums
Main contact: Nobuyuki Umezu, nobuyuki.umezu.cs@vc.ibaraki.ac.jp
Abstract: Museums have always been attractive and unique places where people learn from various exhibits, displays, samples, and special devices. Although recent smartphones, PCs, and game consoles are very powerful, there should be solid differences between experiences with daily equipment and those in museums full of special-purpose devices. Our workshop aims to showcase a wide range of excellent designs, implementations, experimental results, and case studies. We encourage papers that extend the ability of museums to enhance people’s experiences in museums with a range of XR/AR/VR/MR and related technologies. We also believe in artwork as the core entity of the museum experience, supporting the development of ART that leverages on AI and XR. We therefore encourage submissions of ART papers.
Website: https://xrim.work/AIxVR2026/

Generative AI and Multimodal AI for Immersive Media
Main contact: Anand Bhojan, dcsab@nus.edu.sg
Abstract: TBD
Website: TBD

Healthcare Intelligence and eXtended Reality
Main contact: Faraz Janan, f.janan@imperial.ac.uk
Abstract: As the healthcare sector continues to evolve rapidly, the integration of cutting-edge technologies is reshaping how care is delivered. Extended Reality (XR), which includes Virtual Reality (VR), Mixed Reality (MR), and Augmented Reality (AR), is becoming increasingly influential in healthcare, offering new opportunities for training, surgical planning, and remote collaboration. Simultaneously, Artificial Intelligence (AI) is revolutionising diagnostics, patient care, and data-driven decision-making. The convergence of these two fields is set to usher in a new era of healthcare, marked by unparalleled precision, personalisation, and patient engagement. You are invited to submit relevant papers to the Healthcare Intelligence workshop, with applications of AI, XR and machine learning.
Website: https://responsible-cuckoo-nrr3xw.mystrikingly.com/

AIVR4Exergame - AI and AR/VR for Exergaming
Main contact: Sean Banerjee, sean.banerjee@wright.edu
Abstract: AI-enabled AR/VR-based exergames have the potential to enable a broader spectrum of users to participate in rehabilitative and fitness activities in immersive social environments that provide continual feedback to improve performance and incentivize continued usage. However, consumer grade AR/VR systems do not yet have the full capabilities needed to realize exergaming at scale. These challenges include, but are not limited to AI feedback algorithms that can run on untethered systems, long-term usage comfort due to system bulkiness, inability to simulate real-world attributes such as weight and resistance, novel exercise routine generation, and multi-user latency.
Website: https://tars-home.github.io/aivr4exergaming2026/

AI-AXESS - Artificial Intelligence for Accessible XR Experiences and Spatial Systems
Main contact: Alexander Marquardt, marquardt.alexander.lx1@naist.ac.jp
Abstract: How can artificial intelligence (AI) transform extended reality (XR) into a universally accessible medium? While XR technologies have advanced rapidly, many systems still do not adequately accommodate users with visual, motor, or cognitive impairments. The key challenge is enabling XR systems to perceive and adapt in real time to physical and virtual environments. This workshop explores AI techniques such as semantic mapping, real-time localization, multimodal interaction, adaptive rendering, and large language model integration that allow XR to provide responsive, personalized, and accessible experiences for diverse users. Challenges related to system performance, data bias, privacy, and ethical design are also addressed. By bringing together experts in AI, XR, and inclusive design, this workshop fosters research and collaboration advancing accessible immersive technologies for all users.
Website: https://sites.google.com/view/ai-axess

XRobot - Workshop on Extended Reality (XR) in Robotics
Main contact: Maria Kyrarini, mkyrarini@scu.edu
Abstract: With the recent advances of AI in the field of robotics, more and more data is needed in order to train foundation models. Extended reality (XR) provides a tool to collect large-scale and realistic data without the requirement of expensive equipment and risks of real-world experiments, while enabling robotic systems to learn from the XR data. This workshop will focus on how XR can support AI-powered robotic applications through simulation, digital twins, immersive teleoperation, and Human-Robot Interaction. The workshop will discuss methods for leveraging XR to collect uni-/multimodal data for safe and efficient robot training. The workshop will also discuss the gaps between XR simulation and real-world robotic applications.
Website: https://sites.google.com/view/xrobot2025/home