Active Projects

• STUDY GROUP ON METROLOGY FOR HUMAN-ROBOT INTERACTION

• IEEE P1872.1™ ROBOT TASK REPRESENTATION

• IEEE P1872.2™ STANDARD FOR AUTONOMOUS ROBOTICS (AUR) ONTOLOGY

• IEEE P2751™ 3D MAP DATA REPRESENTATION FOR ROBOTICS AND AUTOMATION

• IEEE P7007™ ONTOLOGICAL STANDARD FOR ETHICALLY DRIVEN ROBOTICS AND AUTOMATION SYSTEMS

• IEEE P7008™ STANDARD FOR ETHICALLY DRIVEN NUDGING FOR ROBOTIC, INTELLIGENT AND AUTONOMOUS SYSTEMS

 

STUDY GROUP ON METROLOGY FOR HUMAN-ROBOT INTERACTION

This standards study group seeks to identify candidate key performance indicators of human-robot interaction (HRI) effectiveness, and to recommend the formation of working groups that may focus on developing the metrics and test methods by which HRI performance may be assessed.  Key proposed outputs include a roadmap toward HRI standards and a prioritized list of candidate standards topics for future working groups.  These standards will address multiple facets of the field of HRI research, including communications, effective teaming, situation and social awareness, ease-of-use, interface performance, terminologies and taxonomies, presence and embodiment, and safety.

 

IEEE P1872.1™ ROBOT TASK REPRESENTATION

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.

 

IEEE P1872.2™ STANDARD FOR AUTONOMOUS ROBOTICS (AUR) ONTOLOGY

This standard is a logical extension to IEEE 1872-2015 Standard for Ontologies for Robotics and Automation. The standard extends the CORA ontology by defining additional ontologies appropriate for Autonomous Robotics (AuR) relating to:

1. The core design patterns specific to AuR in common R&A sub-domains;

2. General ontological concepts and domain-specific axioms for AuR; and

3. General use cases and/or case studies for AuR.

 

IEEE P2751™ 3D MAP DATA REPRESENTATION FOR ROBOTICS AND AUTOMATION

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 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.

 

IEEE P7007™ ONTOLOGICAL STANDARD FOR ETHICALLY DRIVEN ROBOTICS AND AUTOMATION SYSTEMS

The standard establishes a set of ontologies with different abstraction levels that contain concepts, definitions and axioms which are necessary to establish ethically driven methodologies for the design of Robots and Automation Systems.

 

IEEE P7008™ STANDARD FOR ETHICALLY DRIVEN NUDGING FOR ROBOTIC, INTELLIGENT AND AUTONOMOUS SYSTEMS

“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.