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What More Agile Robots Could Mean for Consumers

Published

Author(s)

Craig I. Schlenoff

Abstract

The ways that developers of robots have talked about their craft have been highly specialized to a given domain-and sometimes have varied even within the domain. This has made it difficult to share advances across the landscape of robot R&D and, in turn, held back advances in how robots can be feasibly used to the benefit of humanity. A multi-discipline working group of more than 160 professionals from more than 20 nations came together through the IEEE Standards Association (IEEE-SA) to address this need. Developers of IEEE 1872, IEEE Standard Ontologies for Robotics and Automation sought to precisely define the concepts of a robot's knowledge representation, support clearer robot-to-robot and human-to-robot communication, and help simplify programming and extend a robot's information processing and reasoning capabilities. Toward those goals, the working group defined a logic-based, robot-interpretable language-an "ontology"-to model generic concepts and their definitions, attributes, constraints and relationships within a domain.
Citation
Engadget

Keywords

artificial intelligence, AI, robotics, ontologies, knowledge representation, tasks

Citation

Schlenoff, C. (2017), What More Agile Robots Could Mean for Consumers, Engadget, [online], https://www.engadget.com/ (Accessed May 30, 2024)

Issues

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Created March 24, 2017, Updated February 8, 2022