Page 128 - AI Standards for Global Impact: From Governance to Action

AI Standards for Global Impact: From Governance to Action

Box 5: ITU standardization activities on embodied AI (Conitnued)
• Recommendation ITU-T M.3367 (04/2023)
Recommendation ITU-T M.3367 introduces requirements for intelligent
maintenance robots (IMRs) based on-site smart patrol of telecommunication
networks, includes the network elements to be patrolled, requirements for
management function of IMR-based patrol and related management interfaces.

ITU-T Study Group 11

ITU-T Study Group 11 is actively working on intelligent edge computing and its
related use in embodied AI systems. Within this context, SG11 developed two ITU-T
Recommendations

• Recommendation ITU-T Q.5029: "Data management interfaces in digital twin
smart aquaculture system with intelligent edge computing".
• Recommendation ITU-T Q.5030: "Data management interfaces for intelligent
edge computing-based flowing-water smart aquaculture system."

ITU-T Study Group 13

ITU-T Study Group 13 (SG13) has addressed "Robotics as a Service" (RaaS) in its work,
specifically through Recommendation ITU-T Y�3533 which outlines the functional
requirements for developing, operating, and managing robots within a cloud
computing environment.

ITU-T Study Group 17

ITU-T Study Group 17 is currently working on security requirements and guidelines for
embodied artificial intelligence systems through the new work item X.sg-eAI.

ITU-T Study Group 20

Several ITU-T Study Group 20 Recommendations (such as ITU-T Y.4106, Y.4607, and
Y.4506) directly address embodied AI systems, defining requirements and architectures
for robots operating in real environments.

Recommendations ITU-T Y.4471 and ITU-T Y.4487 provide supporting network and
sensor infrastructure that enables embodied AI systems, such as autonomous vehicles,
to function safely and effectively.

ITU-T Recommendations Y.4607 and Y.4506 provide the requirements and reference
architecture for autonomous delivery robots — a concrete application of embodied AI
in urban environments.

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