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| Content Provider | The American Society of Mechanical Engineers (ASME) Digital Collection |
|---|---|
| Author | Balakirsky, Stephen Schlenoff, Craig Fiorini, Sandro Rama Redfield, Signe Barreto, Marcos Nakawala, Hirenkumar Carbonera, Joel Luís Soldatova, Larisa Bermejo-Alonso, Julita Maikore, Fatima Paulo, J. S. Goncalves Momi, Elena De Veera, R. Sampath Kumar Haidegger, Tamás |
| Copyright Year | 2017 |
| Abstract | Ontologies serve robotics in many ways, particularly in describing and driving autonomous functions. These functions are built around robot tasks. In this paper, we introduce the IEEE Robot Task Representation Study Group, including its work plan, initial development efforts, and proposed use cases. This effort aims to develop a standard that provides a comprehensive ontology encompassing robot task structures and reasoning across robotic domains, addressing both the relationships between tasks and platforms and the relationships between tasks and users. Its goal is to develop a knowledge representation that addresses task structure, with decomposition into subclasses, categories, and/or relations. It includes attributes, both common across tasks and specific to particular tasks and task types. |
| Sponsorship | Manufacturing Engineering Division |
| File Format | |
| ISBN | 9780791850749 |
| DOI | 10.1115/MSEC2017-2783 |
| Volume Number | Volume 3: Manufacturing Equipment and Systems |
| Conference Proceedings | ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing |
| Language | English |
| Publisher Date | 2017-06-04 |
| Publisher Place | Los Angeles, California, USA |
| Access Restriction | Subscribed |
| Subject Keyword | Ontologies Robots Robotics |
| Content Type | Text |
| Resource Type | Article |
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