Abstract
This paper describes the knowledge processing framework COAR that can be used for agent reasoning about mechanical objects, evolving aggregates, and their changing functional roles in on-going assembly tasks. In COAR, a structured model of the target assembly can be defined that describes its components, their spatial arrangement, as well as specific functional roles of components in the target assembly. Inferences over COAR representations include the recognition of constructed aggregates as subassemblies of the target aggregate, and the reclassification of components according to their use in larger assemblies. COAR representations can be interfaced with a 3D geometry scene description. COAR has been applied to assembly tasks both in virtual and real environments.
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References
Barr, A. and E. Feigenbaum (1981). The Handbook of Artificial Intelligence. Vol. 1. William Kaufmann. Los Altos, CA.
Brachman, R.J. and J.G. Schmölze (1985). An overview of the KL-ONE knowledge representation system. Cognitive Science 9 (2), 171–216.
Cao, Y., B. Jung and I. Wachsmuth (1995). Situated verbal interaction in virtual design and assembly, IJCAI-95 Videotape Program. In: Proc. International Joint Conference on Artificial Intelligence. Vol. 2. IJCAI, Morgan Kaufman, pp. 2061–2062.
Guarino, N., M. Carrara and P. Giaretta (1994). An ontology of meta-level categories. In: Principles of Knowledge Representation and Reasoning. Morgan Kaufmann, San Francisco, CA. pp. 270–280.
Jung, B. (1997). Wissensverarbeitung für Montageaufgaben in virtuellen und realen Umgebungen. Vol. 157 of Dissertationen zur Künstlichen Intelligenz. infix. Sankt Augustin, Germany.
Jung, B. and I. Wachsmuth (1998). Integration of geometric and conceptual reasoning for interacting with virtual environments. In: Proc. 98’AAAI Spring Symposium on Multimodal Reasoning.
Kümmert, F., H. Niemann, R. Prechtel and G. Sagerer (1993). Control and explanation in a signal understanding environment. Signal Processing 32, 111–145.
Minsky, M. (1975). A framework for representing knowlegde. In: The psychology of Computer Vision ( P. Winston, Ed.). pp. 211–277. McGraw-Hill. New York.
Padgham, L. and P. Lambrix (1994). A framework for part-of hierarchies in terminological logics. In: Principles of Knowledge Representation and Reasoning. Morgan Kaufmann, San Francisco, CA. pp. 485–496.
Rickheit, G. and I. Wachsmuth (1996). Collaborative Research Centre “Situated Artificial Communicators” at the University of Bielefeld. Artificial Intelligence Review 10 (3–4), 165–170.
Sowa, J. (1988). Using a lexicon of canonical graphs in a semantic interpreter. In: Relational Models of the Lexicon ( M.W. Evens, Ed.). pp. 112–137. Cambridge University Press. Cambridge, UK.
Wachsmuth, I. and B. Jung (1996). Dynamic conceptualization in a mechanical- object assembly environment. Artificial Intelligence Review 10 (3–4), 345–368.
Way, E.C. (1991). Knowledge Representation and Metaphor. Kluwer. Dordrecht.
Woods, W.A. and J.G. Schmölze (1992). The KL-ONE family. In: Semantic Networks in Artificial Intelligence ( F. Lehmann, Ed.). pp. 133–177. Pergamon Press. Oxford.
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© 1998 Springer-Verlag Berlin Heidelberg
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Jung, B. (1998). Reasoning about Objects, Assemblies, and Roles in On-Going Assembly Tasks. In: Distributed Autonomous Robotic Systems 3. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-72198-4_25
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DOI: https://doi.org/10.1007/978-3-642-72198-4_25
Publisher Name: Springer, Berlin, Heidelberg
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