Standard

IEC 62714-1:2018 is a solution for data exchange focusing on the domain of automation engineering. The data exchange format defined in the IEC 62714 series (Automation Markup Language, AML) is an XML schema based data format and has been developed in order to support the data exchange in a heterogeneous engineering tools landscape. The goal of AML is to interconnect engineering tools in their different disciplines, e.g. mechanical plant engineering, electrical design, process engineering, process control engineering, HMI development, PLC programming, robot programming, etc. This second edition cancels and replaces the first edition published in 2014. This edition constitutes a technical revision. This edition includes the following significant technical changes with respect to the previous edition:a) use of CAEX 3.0 according to IEC 62424:2016b) improved modelling of references to documents outside of the scope of the present standard,c) modelling of references between CAEX attributes and items in external documents,d) revised role libraries,e) modified Port concept,f) modelling of multilingual expressions,g) modelling of structured attribute lists or array,h) a new AML container format,i) a new standard AML attribute library

This part of IEC 61000 for EMC immunity requirements applies to electrical and electronic equipment intended for use in industrial locations, as described below.

Presents the broad picture on symbioses (Symbiotic Autonomous Systems) in a number of areas and how they impact our economic system and way of life. The IEEE SAS Initiative takes a 360° view based on technology and standardization—the foundation of IEEE—and invites all interested constituencies to contribute complementary points of view, including economic, regulatory, and sociocultural perspectives. The White Paper provides a broad Landscape on aspects of Symbiotic Autonomous Systems from which Standards can also be developed into the future.

This standard defines a reference model, fundamental data models, and an application framework of semantic maps for autonomous robots.

This standard defines terms relevant to human-robot interaction in service, social, education, industrial, and research robotic applications.

This recommended practice outlines best practices and requirements for the development of designs of human-subject experiments in human-robot interaction research.

This standard provides a listing of desirable traits of robotic systems under the umbrella of agility - a compound notion of reconfigurability and autonomy as opposed to the typical robotic use of rigid pre-programmed tasks. In particular, it describes a set of quantitative test methods and metrics for assessing the following ten aspects: hardware reconfigurability, software reconfigurability, communications, task representation, sensing, reasoning, perception, planning, tasking, and execution.

A Strategic and technically oriented document in which describes the current development status of Industrie 4.0, outlines the requirements for standards, specifications and industry standards, and provides impetus for successful implementation.

VDE-AR-E 2842-61-1 specifies a general framework for the development of trustworthy solutions and trustworthy autonomous / cognitive systems, including the requirements for the subsequent phases of Product life cycle (e.g. production, marketing & sales, operation & maintenance, retirement & repair). It defines a reference lifecycle in analogy to the most important standards for functional safety (i.e. IEC 61508) as a unified approach to achieve and maintain the overall performance of the solution and the intended behavior and trustworthiness of the autonomous / cognitive system. In addition, this could lead to a basis for the qualification and conformity assessment of solutions based on autonomous / cognitive systems including elements of artificial intelligence.

VDE-AR-E 2842-61-2 describes the requirements for the management in order to ensure and support a structured approach to the development of an trustworthy autonomous cognitive system. This entails guidance (e.g. process, procedures synchronized with the overall process), supporting means (e.g. methods, templates) as well as resource planning and activity tracking to ensure the right performance of the system. The obligation is split into three parts: the management on company level, the management during the project and the management after release. VDE-AR-E 2842-61-2 is part of an overall reference lifecycle as a unified approach to achieve and maintain the overall performance of the solution and the intended behavior and trustworthiness of the autonomous / cognitive system. In addition, this could lead to a basis for the qualification and conformity assessment of solutions based on autonomous / cognitive systems including elements of artificial intelligence. This VDE applikation guide is written in English.

VDE-AR-E 2842-61-3 describes the requirements for the management in order to ensure and support a structured approach to the development of an trustworthy autonomous cognitive system. This entails guidance (e. g. process, procedures synchronized with the overall process), supporting means (e. g. methods, templates) as well as resource planning and activity tracking to ensure the right performance of the system. The obligation is split into three parts: the management on company level, the management during the project and the management after release. VDE AR 2842-61-3 is part of an overall reference lifecycle as a unified approach to achieve and maintain the overall performance of the solution and the intended behavior and trustworthiness of the autonomous / cognitive system. In addition, this could lead to a basis for the qualification and conformity assessment of solutions based on autonomous / cognitive systems including elements of artificial intelligence.

VDE-AR-E 2842-61-6 specifies a general framework for the development of trustworthy solutions and trustworthy autonomous / cognitive systems, including the requirements for the subsequent phases of Product life cycle (e. g. production, marketing & sales, operation & maintenance, retirement & repair). It defines a reference lifecycle in analogy to the most important standards for functional safety (i. e. IEC 61508) as a unified approach to achieve and maintain the overall performance of the solution and the intended behavior and trustworthiness of the autonomous / cognitive system. In addition, this could lead to a basis for the qualification and conformity assessment of solutions based on autonomous / cognitive systems including elements of artificial intelligence. The