IEEE

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.

A set of ontologies with different abstraction levels that contain concepts, definitions, axioms, and use cases that assist in the development of ethically driven methodologies for the design of robots and automation systems is established by this standard.

This standard defines the Software-Defined Quantum Communication (SDQC) protocol that enables configuration of quantum endpoints in a communication network in order to dynamically create, modify, or remove quantum protocols or applications. This protocol resides at the application layer and communicates over Transmission Control Protocol/Internet Protocol. The protocol design facilitates future integration with Software-Defined Networking and Open Networking Foundation OpenFlow. The standard defines a set of quantum device configuration commands that control the transmission, reception, and operation of quantum states. These device commands contain parameters that describe quantum state preparation, measurement, and readout.

This standard extends IEEE Std 1872-2015, IEEE Standard for Ontologies for Robotics and Automation, to represent additional domain-specific concepts, definitions, and axioms commonly used in Autonomous Robotics (AuR). This standard is general and can be used in many ways--for example, to specify the domain knowledge needed to unambiguously describe the design patterns of AuR systems; to represent AuR system architectures in a unified way; or as a guideline to build autonomous systems consisting of robots operating in various environments.

A core ontology that specifies the main, most general concepts, relations, and axioms of robotics and automation (R&A) is defined in this standard, which is intended as a reference for knowledge representation and reasoning in robots, as well as a formal reference vocabulary for communicating knowledge about R&A between robots and humans. This standard is composed of a core ontology about R&A, called CORA, together with other ontologies that give support to CORA.

Presents the broad picture on symbioses (Symbiotic Autonomous Systems) in a number of areas and how they impact our economic system and way of life. The IEEE SAS Initiative takes a 360° view based on technology and standardization—the foundation of IEEE—and invites all interested constituencies to contribute complementary points of view, including economic, regulatory, and sociocultural perspectives. The White Paper provides a broad Landscape on aspects of Symbiotic Autonomous Systems from which Standards can also be developed into the future.

This standard defines a reference model, fundamental data models, and an application framework of semantic maps for autonomous robots.

This standard defines terms relevant to human-robot interaction in service, social, education, industrial, and research robotic applications.

This recommended practice outlines best practices and requirements for the development of designs of human-subject experiments in human-robot interaction research.

This standard provides a listing of desirable traits of robotic systems under the umbrella of agility - a compound notion of reconfigurability and autonomy as opposed to the typical robotic use of rigid pre-programmed tasks. In particular, it describes a set of quantitative test methods and metrics for assessing the following ten aspects: hardware reconfigurability, software reconfigurability, communications, task representation, sensing, reasoning, perception, planning, tasking, and execution.

Specified in this recommended practice is how the elements and attributes defined in the IMS Content Packaging Information Model (CP) Version 1.2 relate to the components of the conceptual model for resource aggregation defined in IEEE Std 1484.13.1(TM)-2012.

This standard addresses quantum technologies specific terminology and establishes definitions necessary to facilitate clarity of understanding to enable compatibility and interoperability.