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Workshop
In person
LeadersGoldDiscovery

Embodied AI for multimedia technologies: From perception to human collaboration

    • Date
    10 July 2026
    Timeframe
    09:00 - 12:15
    Duration
    3h 15 minutes
    • Days
      Hours
      Min
      Sec

    Embodied artificial intelligence (EAI) marks a shift in how intelligent systems are designed and experienced. Rather than operating purely in digital environments, EAI integrates AI into physical or virtual bodies, enabling systems to perceive, learn, and act within real-world contexts. This opens new possibilities for multimedia technologies that are not only interactive, but deeply responsive to human behaviour and environments.

    This workshop will explore how EAI can support human-centred multimedia applications by combining multimodal perception, adaptive learning, and collaborative capabilities. Participants will engage with emerging concepts such as world models, closed-loop control, and real and virtual training datasets, while examining how embodied systems can operate in dynamic, unstructured environments. The session will also address practical implications across sectors including healthcare, smart manufacturing, logistics, and home automation.

    Bringing together researchers, industry experts, and policymakers, the workshop offers a space to reflect on the technical foundations, standardization needs, and future directions of embodied AI in multimedia systems.

    This session explores the latest technological breakthroughs and global development trends in embodied AI, including hardware platforms, multimodal models, and real-world applications. The session aims to provide a comprehensive overview of the state of the art and highlight how embodied AI is expanding into industrial, service, and consumer scenarios.

    This special session aims to formally introduce the newly established ITU Focus Group on Embodied AI for Multimedia Technologies and present its overall vision, scope, and planned activities.

    As embodied AI technologies rapidly evolve, there is a growing need for reliable evaluation frameworks, standards, and responsible governance mechanisms. This session will examine:

    • Benchmarking and evaluation methodologies for embodied AI systems
    • Standardization needs for multimodal models, interfaces, and system integration
    • Data governance, EAI safety, and ethical considerations
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