IEEE Std 1872.1-2024 PDF

Full title and description

IEEE Std 1872.1-2024 — IEEE Standard for Robot Task Representation. Defines an ontology and associated vocabulary for representing, reasoning about, and communicating robot task knowledge across learning, robotics, and automation systems, enabling shared, machine-interpretable task descriptions and improved interoperability between planners and designers.

Abstract

This standard specifies a task-focused ontology that lists essential terms, definitions, attributes, types, structures, properties, constraints, and relationships needed to represent robotic tasks. It addresses hierarchical task decomposition and the representation needs of planners, designers, and learning systems so that task knowledge can be exchanged, interpreted, and reasoned about consistently across tools and platforms.

General information

• Status: Active Standard.
• Publication date: Published 18 June 2024.
• Publisher: IEEE Standards Association (developed under the IEEE Robotics & Automation Society).
• ICS / categories: 25.040.30 (Industrial robots. Manipulators); 35.240.99 (IT applications in other fields).
• Edition / version: IEEE Std 1872.1-2024 (first published edition, 2024).
• Number of pages: 32 pages (PDF/print).

Scope

Specifies an ontology framework for representing robot task knowledge used by planners, learning systems, and automation designers. The scope includes definitions of task concepts, attributes, allowable values and constraints, relationships among task elements, and guidance for representing hierarchical task structures so that task knowledge can be shared and used for planning, execution, and reasoning. The standard is intended to improve interoperability and clarity when exchanging task-level information among heterogeneous robotic systems.

Key topics and requirements

• Formal task ontology: core concepts and terminology for task description and decomposition.
• Definitions of task attributes, types, properties, and constraints required for unambiguous interpretation.
• Representation patterns for hierarchical planners and multi-level task descriptions to enable communication across abstraction layers.
• Requirements to support machine-interpretable task knowledge for reasoning, planning, and learning systems.
• Guidance for consistent use of terms to promote interoperability among robot developers, integrators, and tool vendors.

Typical use and users

Adopted by robotics system architects, robot manufacturers, integrators, autonomy and planning researchers, ontology engineers, simulation and tool vendors, and organizations building multi-robot or human-robot workflows. Typical uses include encoding task libraries, sharing task definitions between planners and execution systems, enabling task-level reasoning and learning, and reducing ambiguity in task specifications exchanged across tools and teams.

Related standards

Part of the IEEE family of robotics ontologies and related R&A standards. Closely related documents include IEEE Std 1872-2015 (Ontologies for Robotics and Automation / CORA), IEEE Std 1872.2-2021 (Autonomous Robotics Ontology), IEEE Std 1873-2015 (Robot Map Data Representation for Navigation), and IEEE Std 7007-2021 (Ontological Standard for Ethically Driven Robotics and Automation Systems). A companion implementation guide project P1872.1.1 provides practical implementation guidance for 1872.1-2024.

Keywords

robot task representation; task ontology; robotics ontology; task decomposition; hierarchical planning; knowledge representation; interoperability; robotic task vocabulary; automation.

FAQ

Q: What is this standard?

A: IEEE Std 1872.1-2024 is the IEEE Standard for Robot Task Representation: a formal ontology and vocabulary for describing robotic tasks so they can be interpreted, shared, and used by planners, execution systems, and learning tools.

Q: What does it cover?

A: It covers definitions of task concepts, attributes, types, structures, properties, constraints, and relationships; patterns for hierarchical task representation; and requirements to make task knowledge machine-interpretable for planning, reasoning, and communication across systems.

Q: Who typically uses it?

A: Robot manufacturers, system integrators, autonomy and planning researchers, ontology developers, simulation and tool vendors, and organizations building multi-robot or human-robot solutions use it to standardize task descriptions and improve interoperability.

Q: Is it current or superseded?

A: It is a current, active IEEE standard published in 2024 (IEEE Std 1872.1-2024). It complements but does not directly supersede IEEE 1872-2015 (the core ontologies standard); instead it extends the family by focusing on task representation.

Q: Is it part of a series?

A: Yes — it is part of the IEEE 1872 family and the broader set of IEEE Robotics & Automation standards addressing ontologies, map data, autonomous robotics, and related topics. Implementation guidance and companion projects (for example P1872.1.1) are associated with this standard.

Q: What are the key keywords?

A: Robot task representation, task ontology, task decomposition, hierarchical planning, knowledge representation, interoperability, robotics ontology.