IEEE P1872.2/D2, Aug 2021 PDF | Request Standard
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IEEE P1872.2/D2, Aug 2021

IEEE Draft Standard for Autonomous Robotics (AuR) Ontology

Standard by IEEE, 2021

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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 P1872.2/D2, Aug 2021 is a draft standard for an autonomous robotics ontology, created to support shared understanding in robotics and control systems. It is intended to help define consistent concepts, relationships, and terminology for autonomous robotics applications, making it easier to exchange information across tools, teams, and implementations. As IEEE P1872.2/D2, Aug 2021 is an inactive draft document, it is especially useful as a reference point for ontology-based modeling and technical review in robotics work.

Overview of IEEE P1872.2/D2, Aug 2021

This standard focuses on the conceptual structure needed to describe autonomous robotics in a machine-readable and technically consistent way. IEEE P1872.2/D2, Aug 2021 addresses the ontology side of robotics, where clear definitions can support interoperability, documentation, and system analysis. In practice, it may help align how engineers represent robot behavior, capabilities, and control-related concepts. For organizations working in robotics and control systems, it offers a draft framework for comparing models and reducing ambiguity in technical communication.

Typical use cases

IEEE P1872.2/D2, Aug 2021 may be used when building or reviewing ontology-driven representations of autonomous robots, control functions, or related system behavior. It can be relevant in research environments, robotics software development, simulation modeling, and knowledge-based engineering workflows. Teams may consult it when defining terminology for navigation, task execution, sensing, or autonomy-related functions. It is also useful where multiple stakeholders need a common conceptual model for robotics data, system integration, or documentation.

Why it matters

Clear ontology standards can reduce confusion in robotics projects, especially where autonomous behavior must be described consistently across tools or organizations. IEEE P1872.2/D2, Aug 2021 supports more controlled design discussions, better documentation, and more reliable comparison of robotics concepts during development or evaluation. For technical teams, that can improve consistency in requirements work, model review, and system integration. It may also help lower risk when aligning autonomous robotics definitions across different engineering groups or project phases.

  • Autonomous robotics ontology structure
  • Concept and relationship definitions
  • Robotics and control systems context
  • Draft reference for modeling and review
  • Inactive English-language standard document
SKU: 43526a44788d

  • Publication Date: 2021
  • Standard Status: Inactive
  • Publisher: IEEE
  • Subject: Robotics and Control Systems
  • Official IEEE: Doi link

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