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. Springer: 1-10.

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Konferenzbeitrag | Veröffentlicht | Englisch
Herausgeber
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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.
Erscheinungsjahr
Titel des Konferenzbandes
Proceedings of the International Conference on Engineering Applications of Neural Networks (EANN)
Seite
1-10
Konferenz
Engineering Applications of Neural Networks (EANN)
Konferenzort
Corfu, Greece
Konferenzdatum
2011-09-15
ISSN
PUB-ID

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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 ; 363. 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 ; 363. Proceedings of the International Conference on Engineering Applications of Neural Networks (EANN) (pp. 1-10). Springer. doi:10.1007/978-3-642-23957-1_1
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 ; 363 (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 ; 363. 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 ; 363, 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 (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. Springer, 2011. IFIP Advances in Information and Communication Technology ; 363. 1-10.

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