IEEE P1872/D2, Aug 2014 PDF | Request Standard
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IEEE P1872/D2, Aug 2014

IEEE Draft Standard Ontologies for Robotics and Automation

Standard by IEEE, 2014

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  • Availability: Immediate Download
  • Language: English
  • License Type: Single User
  • Updates: Not Included
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  • Language: English
  • License Type: Enterprise / Multi User
  • Updates: Included

About This Item

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IEEE P1872/D2, Aug 2014 is a draft standard focused on ontologies for robotics and automation, giving engineers a structured way to represent concepts, relationships, and terminology. As a technical document, it is relevant where robotics and control systems need consistent information models for design, integration, and communication. For teams working with automated machinery or robotics software, IEEE P1872/D2, Aug 2014 helps support clearer interpretation of system elements and more disciplined engineering practice.

About IEEE P1872/D2, Aug 2014

This draft standard addresses ontology development for robotics and automation, which means it is concerned with how domain knowledge is organized and expressed in a formal, machine-readable way. IEEE P1872/D2, Aug 2014 is useful when engineers need shared definitions for robot components, behaviors, tasks, and related control concepts. By providing a common technical structure, it can help reduce ambiguity in documentation, modeling, and system-level communication across robotics projects.

Where is IEEE P1872/D2, Aug 2014 used?

IEEE P1872/D2, Aug 2014 is typically relevant in robotics and automation environments where semantic consistency matters, such as industrial robot cells, autonomous system development, control software integration, and engineering knowledge bases. It may also support teams building models for robot behavior, task planning, or interoperability between tools that rely on shared terminology. In practice, it is most useful where automation systems need a clear, standardized way to describe functions and relationships.

Importance in practice

In practice, IEEE P1872/D2, Aug 2014 matters because ontologies help reduce confusion in complex robotics work. A shared conceptual framework can improve specification quality, support better design control, and make testing or validation more consistent across teams. For procurement, integration, and compliance activities, a well-defined ontology can also reduce misunderstandings about what a system is intended to do. That consistency is especially valuable when robotics and control systems must work together reliably.

  • Ontology structure for robotics and automation
  • Shared terminology for engineering teams
  • Support for modeling and integration
  • Draft standard status
  • Relevant to control systems and automation workflows
SKU: 6fd6dfb5b017

  • Publication Date: 2014
  • Standard Status: Inactive
  • Publisher: IEEE
  • Subject: Robotics and Control Systems; General Topics for Engineers
  • Official IEEE: Doi link
  • New Version Available: P1872 (2015)
  • This Version: P1872 (2014)

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