IEEE

Discusses Standards Roadmaps for Future Networks, including 5G/6G, as well as in the area of Autonomic/Autonomous Networking (ANs) Standards. The Emerging Industry Requirement for Standardization of a Blueprint for Common Operational Principles for Autonomic/Autonomous Networks (COPAAN) is presented in relation to the Autonomic/Autonomous Networking (ANs) paradigm. The connection of COPAAN and Robotics is illustrated.

The scope of this standard is to define one medium access control (MAC) and several physical layer (PHY) specifications for wireless connectivity for fixed, portable, and moving stations (STAs) within a local area.

The document describes Gaps in Standards for Autonomic/Autonomous Networking (ANs), including Self-Organizing Systems and Networks. The Emerging Industry Requirement for Standardization of a Blueprint for Common Operational Principles for Autonomic/Autonomous Networks (COPAAN) is presented in more detail in relation to the Autonomic/Autonomous Networking (ANs) paradigm. The Model of Interfaces of an AN that call for COPAAN Standard Development is presented. The connection of COPAAN and Robotics is illustrated. Systems Optimization, Traffic Variance, Control Variance, Service Variance, Confluence, Dependency, Complex Systems, Self-Organizing Networks, Self-X, Autonomics, Autonomic Management & Control (AMC), Emergence

This standard extends the IEEE 1873-2015™ Standard for Robot Map Data Representation from two-dimensional (2D) maps to three-dimensional (3D) maps.

"Nudges" as exhibited by robotic, intelligent or autonomous systems are defined as overt or hidden suggestions or manipulations designed to influence the behavior or emotions of a user. This standard establishes a delineation of typical nudges (currently in use or that could be created). It contains concepts, functions and benefits necessary to establish and ensure ethically driven methodologies for the design of the robotic, intelligent and autonomous systems that incorporate them.

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.

A map data representation of environments of a mobile robot performing a navigation task is specified in this standard. It provides data models and data formats for two-dimensional (2D) metric and topological maps.

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.