This standard is a logical extension to IEEE Std 1872-2015, IEEE Standard for Ontologies for Robotics and Automation. The standard extends the core ontology for robotics and automation (CORA) ontology by defining additional ontologies appropriate for Autonomous Robotics (AuR) relating to the following: a) The core design patterns specific to AuR in common robotics and automations (R&A) sub-domains b) General ontological concepts and domain-specific axioms for AuR c) General use cases and/or… read more case studies for AuR read less
This standard defines a core ontology that allows for the representation of, reasoning about, and communication of knowledge in the robotics and automation (R&A) domain. This ontology includes generic concepts as well as their definitions, attributes, constraints, and relationships. These terms can be specialized to capture the detailed semantics for concepts in robotics sub-domains. This standard contains the Core Ontology for Robotics and Automation (CORA) with the representation of… read more fundamental concepts from which the more detailed concepts belonging to other Ontologies for Robotics and Automation Working Group (ORA WG) ontologies are constructed. This standard also defines the ontology engineering methodology used to construct the ORA ontologies. read less
This standard establishes a set of ontologies with different abstraction levels that contain concepts, definitions, axioms, and use cases that are deemed relevant and appropriate to establish ethically driven methodologies for the design of robots and automation (R&A) systems.
This standard extends the IEEE 1873-2015 Standard for Robot Map Data Representation from two-dimensional (2D) maps to three-dimensional (3D) maps. The standard develops a common representation and encoding for 3D map data, to be used in applications requiring robot operation, like navigation and manipulation, in all domains (space, air, ground/surface, underwater, and underground). The standard encoding is devoted to exchange map data between robot systems, while allowing robot systems to use… read more their private internal representations for efficient map data processing. The standard places no constraints on where map data comes from nor on how maps are constructed. read less