What More Agile Robots Could Mean for Consumers

Published

March 24, 2017

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

Pub Weblink

https://www.engadget.com/

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Keywords

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

Citation

Schlenoff, C. (2017), What More Agile Robots Could Mean for Consumers, Engadget, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=922811, https://www.engadget.com/ (Accessed October 10, 2025)