Papers
50
Total Citations
1,140
H-Index
19
About
Craig Schlenoff is a leading figure in the formalization of knowledge representation for robotics and automation. His foundational work centers on developing standardized ontologies—structured vocabularies that enable robots and automated systems to share and reason about information. Schlenoff’s most significant contribution is his leadership in creating the IEEE standard Ontologies for Robotics and Automation (ORA), a landmark achievement that provides a common language for the field. This work, detailed in highly cited papers like "Towards a core ontology for robotics and automation" (188 citations) and the standard itself (71 citations), establishes the core concepts, relations, and axioms for robotics. His research extends this framework into critical applications, including a robot ontology for urban search and rescue (86 citations) and knowledge-driven approaches for industrial assembly and kitting. By chairing the IEEE ORA working group, Schlenoff has directly shaped how robots communicate knowledge, moving the community from ad-hoc solutions to a robust, shared semantic foundation. His contributions are essential for anyone building interoperable, intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Towards a core ontology for robotics and automation188 citations · 2013
- 2An IEEE standard Ontology for Robotics and Automation120 citations · 2012
- 3A robot ontology for urban search and rescue86 citations · 2005
- 4IEEE Standard Ontologies for Robotics and Automation71 citations · 2015
- 5Extensions to the core ontology for robotics and automation65 citations · 2014
- 6
- 7A Suite of Ontologies for Robotics and Automation [Industrial Activities]53 citations · 2017
- 8An industrial robotic knowledge representation for kit building applications40 citations · 2012
- 9Knowledge driven robotics for kitting applications34 citations · 2013
- 10A literature review of sensor ontologies for manufacturing applications28 citations · 2013