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IEEE P1872.1 PDF

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IEEE Approved Draft Standard for Robot Task Representation

IEEE , 05/15/2024

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IEEE P1872.1 PDF

This standard defines an ontology that allows for the representation of, reasoning about, and communication of task knowledge in the robotics and automation domain. This ontology includes key terms as well as their definitions, attributes, types, structures, properties, constraints, and relationships. It will address the way that hierarchical planners represent task knowledge which will allow them to better communicate among levels of the ontology hierarchy.
The purpose of the standard is to provide a robot task ontology for knowledge representation and reasoning in robotics and automation. The standard provides a unified way of representing robot task knowledge and provides a common set of terms and definitions structured in a logical theory, allowing for unambiguous knowledge transfer among groups of human, robots, and other artificial systems. It will link the existent core ontology to the draft/future sub-ontologies. Given the recent advancement in robot standards (such as ISO 15066:2016 for collaborative robots), the proper definition and implementation of tasks and task-based robot control has become a key toward advanced human-robot interaction. A common robot task representation will also allow for greater reuse of task knowledge among research and development efforts in the same robot domain (e.g., within industrial robotics) as well as efforts in different robot domains (e.g. between industrial robotics and service robotics).
New IEEE Standard – Active – Draft. This standard defines an ontology that allows for the representation of, reasoning about, and communication of Task task knowledge in the learning, robotics, and automation domain. This ontology includes a list of essential terms and their definitions, attributes, types, structures, properties, constraints, and relationships. In addition, it will address how hierarchical planners and designers represent task knowledge allowing them to better communicate among levels of the ontology hierarchy.

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