Dr. Rolf H. Luchsinger

ZHAW School of Engineering
Forschungsschwerpunkt Applied Complex Systems Science
Technikumstrasse 9
8400 Winterthur

Publikationen

Füchslin, R. M., Dumont, E., Flumini, D., Fuchs, H. U., Hauser, H., Jaeger, C., Scheidegger, S., Schönenberger-Deuel, J., Lichtensteiger, L., Luchsinger, R. H., & Weyland, M. (2014). Morphological control : a design principle for applications in space science. Journal of the British Interplanetary Society, 67, 305–313. http://adsabs.harvard.edu/abs/2014JBIS...67..305F
Füchslin, R. M., Dzyakanchuk, A., Flumini, D., Hauser, H., Hunt, K. J., Luchsinger, R. H., Reller, B., Scheidegger, S., & Walker, R. (2013). Morphological computation and morphological control : steps toward a formal theory and applications. Artificial Life, 19(1), 9–34. https://doi.org/10.1162/ARTL_a_00079

Füchslin, R. M., Luchsinger, R. H., Reller, B., Hauser, H., & Scheidegger, S. (2011). Morphological computation : applications on different scales exploiting classical and statistical mechanics [Conference paper]. Proceedings of the 2nd International Conference on Morphological Computation, 41–44.

Füchslin, R. M., Flumini, D., Hauser, H., Hunt, K. J., Luchsinger, R. H., & Scheidegger, S. (2013, July 19). Morphological control as guiding principle in physiology and medical applications. Int. Workshop on Soft Robotics and Morphological Computation, Ascona, 19 July 2013.

Eggenberger Hotz, Peter; Luchsinger, Rolf H.; Weyland, Mathias; Jamieson, W. David; Castell, Oliver; Füchslin, Rudolf M., 2026. Code for: Emergent predictability from parameter ambiguity in biochemical networks. Zenodo. Verfügbar unter: https://doi.org/10.5281/zenodo.19485525