ART-based Fusion of Multi-Modal Information for Mobile Robots
Berghöfer E, Schulze D, Tscherepanow M, Wachsmuth S (2011)
In: Proceedings of the International Conference on Engineering Applications of Neural Networks (EANN). Iliadis L, Jayne C (Eds); IFIP Advances in Information and Communication Technology, 363. Berlin: Springer: 1-10.
Konferenzbeitrag
| Veröffentlicht | Englisch
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Autor*in
Herausgeber*in
Iliadis, Lazaros;
Jayne, Chrisina
Einrichtung
Abstract / Bemerkung
Robots operating in complex environments shared with humans are confronted with numerous problems. One important problem is the identification of obstacles and interaction partners. In order to reach this goal, it can be beneficial to use data from multiple available sources, which need to be processed appropriately. Furthermore, such environments are not static. Therefore, the robot needs to learn novel objects. In this paper, we propose a method for learning and identifying obstacles based on multi-modal information. As this approach is based on Adaptive Resonance Theory networks, it is inherently capable of incremental online learning.
Stichworte
Simplified Fuzzy ARTMAP;
Simplified Fusion ARTMAP;
incremental learning;
Adaptive Resonance Theory;
sensor data fusion
Erscheinungsjahr
2011
Titel des Konferenzbandes
Proceedings of the International Conference on Engineering Applications of Neural Networks (EANN)
Serien- oder Zeitschriftentitel
IFIP Advances in Information and Communication Technology
Band
363
Seite(n)
1-10
Konferenz
Engineering Applications of Neural Networks (EANN)
Konferenzort
Corfu, Greece
Konferenzdatum
2011-09-15
ISBN
978-3-642-23956-4
eISBN
978-3-642-23957-1
Page URI
https://pub.uni-bielefeld.de/record/2279830
Zitieren
Berghöfer E, Schulze D, Tscherepanow M, Wachsmuth S. ART-based Fusion of Multi-Modal Information for Mobile Robots. In: Iliadis L, Jayne C, eds. Proceedings of the International Conference on Engineering Applications of Neural Networks (EANN). IFIP Advances in Information and Communication Technology. Vol 363. Berlin: Springer; 2011: 1-10.
Berghöfer, E., Schulze, D., Tscherepanow, M., & Wachsmuth, S. (2011). ART-based Fusion of Multi-Modal Information for Mobile Robots. In L. Iliadis & C. Jayne (Eds.), IFIP Advances in Information and Communication Technology: Vol. 363. Proceedings of the International Conference on Engineering Applications of Neural Networks (EANN) (pp. 1-10). Berlin: Springer. https://doi.org/10.1007/978-3-642-23957-1_1
Berghöfer, Elmar, Schulze, Denis, Tscherepanow, Marko, and Wachsmuth, Sven. 2011. “ART-based Fusion of Multi-Modal Information for Mobile Robots”. In Proceedings of the International Conference on Engineering Applications of Neural Networks (EANN), ed. Lazaros Iliadis and Chrisina Jayne, 363:1-10. IFIP Advances in Information and Communication Technology. Berlin: Springer.
Berghöfer, E., Schulze, D., Tscherepanow, M., and Wachsmuth, S. (2011). “ART-based Fusion of Multi-Modal Information for Mobile Robots” in Proceedings of the International Conference on Engineering Applications of Neural Networks (EANN), Iliadis, L., and Jayne, C. eds. IFIP Advances in Information and Communication Technology, vol. 363, (Berlin: Springer), 1-10.
Berghöfer, E., et al., 2011. ART-based Fusion of Multi-Modal Information for Mobile Robots. In L. Iliadis & C. Jayne, eds. Proceedings of the International Conference on Engineering Applications of Neural Networks (EANN). IFIP Advances in Information and Communication Technology. no.363 Berlin: Springer, pp. 1-10.
E. Berghöfer, et al., “ART-based Fusion of Multi-Modal Information for Mobile Robots”, Proceedings of the International Conference on Engineering Applications of Neural Networks (EANN), L. Iliadis and C. Jayne, eds., IFIP Advances in Information and Communication Technology, vol. 363, Berlin: Springer, 2011, pp.1-10.
Berghöfer, E., Schulze, D., Tscherepanow, M., Wachsmuth, S.: ART-based Fusion of Multi-Modal Information for Mobile Robots. In: Iliadis, L. and Jayne, C. (eds.) Proceedings of the International Conference on Engineering Applications of Neural Networks (EANN). IFIP Advances in Information and Communication Technology. 363, p. 1-10. Springer, Berlin (2011).
Berghöfer, Elmar, Schulze, Denis, Tscherepanow, Marko, and Wachsmuth, Sven. “ART-based Fusion of Multi-Modal Information for Mobile Robots”. Proceedings of the International Conference on Engineering Applications of Neural Networks (EANN). Ed. Lazaros Iliadis and Chrisina Jayne. Berlin: Springer, 2011.Vol. 363. IFIP Advances in Information and Communication Technology. 1-10.