Standards Development

Scope

This document specifies the concepts, reference architecture, functional architecture, functional elements, information models, and implementation guidelines for Cyber-Physically Controlled Smart Robotic Manufacturing (CPSRM).

CPSRM provides a standardized architecture for AI-driven cyber-physical robotic manufacturing systems through the integration of robotic manufacturing systems, cyber-supporting systems, digital twins, manufacturing intelligence, and interoperable manufacturing information systems.

Specifically, this document addresses:

• Cyber-Physically Controlled Robotic Manufacturing (CPCR);

• Cyber-Supporting Systems for Robotic Manufacturing (CSSR);

• Monitoring, analysis, planning and execution for robotic manufacturing;

• Behavior modeling and behavior orchestration for robotic manufacturing systems;

• Coordination and collaboration among robotic manufacturing systems, shop-floor devices, and shopfloor control systems;

• Interoperability and integration with manufacturing information systems;

• Digital-twin-enabled robotic manufacturing systems;

• Information and communication models for cyber-physical robotic manufacturing;

• Implementation requirements and implementation use cases for robotic manufacturing systems.

This document is applicable to robotic manufacturing systems including:

 • Subtractive manufacturing;

• Additive manufacturing;

• Hybrid manufacturing;

• Assembly;

• Inspection;

• Material handling;

• Logistics;

• Autonomous robotic production systems;

• Human-robot collaborative manufacturing systems.

This document does not specify: 

• Robot mechanisms;

• Robot programming languages;

• Robot safety requirements;

• Robot communication protocols;

• Robot performance metrics;

 • Artificial intelligence algorithms.

Instead, this document provides a cyber-physical manufacturing architecture and implementation framework that complements such standards and enables interoperable, intelligent, and autonomous robotic manufacturing systems.

Purpose

Recent advances in robotics, artificial intellige,digital twins, cyber-physical systems, industrial Internet technologies, and autonomous manuafcturing are accelerating the transformantion of manufacturing from conventional automation toward intelligent and autonomous production systems. Emerging technoligies such as collaborative robots (cobots), autonomous mobile robots (AMRs), humanoid robots, Physical AI, and AI-enabled robotic workcells are expanding the role of robotics beyond isolated automation toward fully integrated manufacturing ecosystems

Industrial robots are now deployed in millions of manufacturing installations worldwide, while collaborative robots, autonomous mobile robots, and intelligent robotic systems are experiencing rapid global growth. Manufacturers are increasingly seeking methods to integrate robotic systems with digital twins, manufacturing intelligence, enterprise systems, and cyber-physical control architectures to improve productivity, flexibility, resilience, sustainability, and workforce support.

Although numerous robotics-related standards have been developed internationally, a significant gap remains regarding the standardization of cyber-physical architectures for intelligent robotic manufacturing systems.

Existing standards developed by ISO/TC 299 primarily address:

• Robot safety;

• Robot performance;

• Robot modularity;

• Robot interfaces;

• Robot coordination systems;

 • Human-robot collaboration.

Existing manufatcuring standards, including IEC 62264, IEC 62832m ISO 23247, and related standards, address: 

• Enterprise integration;

• Digital factories;

• Digital twins;

• manufacturing information integration.

Existing artifical intelligence standards developed by ISO/IEC JTC 1/SC 42 address:

• AI concept;

• AI lifecycle processes;

• AI governance;

• AI quality models;

• AI risk management.

However, none of these standards specifies a comprehensive cyber-physical architecture and implementation framework for intelligent robotic manufacturing systems that integrates:

• Robotic manufactuirng systems;

• Cyber-supporting systems;

• Digital twins;

• Manufacturing intelligence;

• Autonomous decision-support functions;

• Enterprise information systems;

• Lifecycle integration.

The ISO 23704 series has established a cyber-physical manufacturing framework consisting of:

• ISO 23704-1:

Overview and fundamental principles; 

• ISO 23704-2: Reference architecture for subtractive manufacturing;

• ISO 23704-3: Reference architecture for additive manufacturing;

• ISO 23704-4: Implementation requirements and guidelines for subtractive manufacturing

• ISO 23704-5: Implementation requirements and guidelines for additive manufacturing.

However, robotic manufacturing systems, which are becoming central elements of Industry 5.0, autonomous manuafcturing, Physical AI, and next-generation smart factories, are not explicitely addessed within the current ISO 23704 series.

This document fills that gap by extending the cyber-physical manufacturing framework of ISO 23704 to robotic manufacturing systems. It provides a unified architectural framework supporting:

• Intelligent robotic manufacturing;

• Autonomous robotic manufacturing;

• Digital twin enabled robotic manufacturing;

• Behavior-based manufacturing intelligence;

• Interoperability among robotic systems, manufacturing systems, and enterprise systems;

• Coordination among robots, machine tools, shop-floor devices, and manufacturing information systems;

• Lifecycle integration of robotic manufacturing systems.

The absence of a common cyber-physical architecture currently increases system integration complexity, engineering effort, deployment costs, and interoperability challenges across multi-vendor robotic manufacturing environments. Standardization of CPSRM can reduce integration costs, improve interoperability, accelerate deployment of intelligent robotic systems, and facilitate technology transfer across industries and countries.

The proposed work is expected to benefit:

• Robot manuafcturers;

• Machine tool builders;

• Systemm integrators;

• Manufactuirng enterprises;

• Small and medium-sized enterprises (SMEs);

• Digital twin solution providers;

• Industrial software venders;

• AI solution providers

• Research organizations;

• Standards application businesses;

• Government agencies promoting smart manufacturing.

The proposed work contributes to the realization of Industry 5.0 objectives by enabling human-centric, sustainable, resilient, interoperable, and robotic manufacturing ecosystems. It further supports the global transition toward autonomous manufacturing through internationally harmonized cyber-physical architectures for robotic manufacturing systems.