Employing L-systems to generate mass-spring networks for morphological computing

Bernhardsgrütter, Rene; Senn, Christoph W.; Füchslin, Rudolf Marcel; Jaeger, Christian; Nakajima, Kohei; Hauser, Helmut

doi:10.21256/zhaw-1660

Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-1660

Publication type:	Conference paper
Type of review:	Peer review (abstract)
Title:	Employing L-systems to generate mass-spring networks for morphological computing
Authors:	Bernhardsgrütter, Rene Senn, Christoph W. Füchslin, Rudolf Marcel Jaeger, Christian Nakajima, Kohei Hauser, Helmut
DOI:	10.21256/zhaw-1660
Proceedings:	Proceedings of the 2014 International Symposium on Nonlinear Theory and its Applications (NOLTA2014)
Page(s):	168
Pages to:	171
Conference details:	2014 International Symposium on Nonlinear Theory and its Applications (NOLTA2014), Luzern, Switzerland, 14-18 September 2014
Issue Date:	2014
Publisher / Ed. Institution:	IEICE
Publisher / Ed. Institution:	Luzern
Language:	English
Subject (DDC):	006: Special computer methods
Abstract:	Robot arms equipped with an additional network of masses and springs enable a facilitation of control by the exploitation of morphological properties. Typically, these mass-spring networks are being generated randomly. This approach comes in its basic form unhandy when the network should obey specific constraints, such as spring lengths, angles between springs or, e.g., the physical expansion range of the network. We present an approach of emulating a growth process on the basis of L-systems. Therefore, we have developed a simulation environment to define L-systems and instructions to translate the produced strings into mass-spring networks.
URI:	https://digitalcollection.zhaw.ch/handle/11475/2802
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	School of Engineering
Organisational Unit:	Institute of Applied Mathematics and Physics (IAMP)
Appears in collections:	Publikationen School of Engineering

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Bernhardsgrütter, R., Senn, C. W., Füchslin, R. M., Jaeger, C., Nakajima, K., & Hauser, H. (2014). Employing L-systems to generate mass-spring networks for morphological computing [Conference paper]. Proceedings of the 2014 International Symposium on Nonlinear Theory and Its Applications (NOLTA2014), 168–171. https://doi.org/10.21256/zhaw-1660

Bernhardsgrütter, R. et al. (2014) ‘Employing L-systems to generate mass-spring networks for morphological computing’, in Proceedings of the 2014 International Symposium on Nonlinear Theory and its Applications (NOLTA2014). Luzern: IEICE, pp. 168–171. Available at: https://doi.org/10.21256/zhaw-1660.

R. Bernhardsgrütter, C. W. Senn, R. M. Füchslin, C. Jaeger, K. Nakajima, and H. Hauser, “Employing L-systems to generate mass-spring networks for morphological computing,” in Proceedings of the 2014 International Symposium on Nonlinear Theory and its Applications (NOLTA2014), 2014, pp. 168–171. doi: 10.21256/zhaw-1660.

BERNHARDSGRÜTTER, Rene, Christoph W. SENN, Rudolf Marcel FÜCHSLIN, Christian JAEGER, Kohei NAKAJIMA und Helmut HAUSER, 2014. Employing L-systems to generate mass-spring networks for morphological computing. In: Proceedings of the 2014 International Symposium on Nonlinear Theory and its Applications (NOLTA2014). Conference paper. Luzern: IEICE. 2014. S. 168–171

Bernhardsgrütter, Rene, Christoph W. Senn, Rudolf Marcel Füchslin, Christian Jaeger, Kohei Nakajima, and Helmut Hauser. 2014. “Employing L-Systems to Generate Mass-Spring Networks for Morphological Computing.” Conference paper. In Proceedings of the 2014 International Symposium on Nonlinear Theory and Its Applications (NOLTA2014), 168–71. Luzern: IEICE. https://doi.org/10.21256/zhaw-1660.

Bernhardsgrütter, Rene, et al. “Employing L-Systems to Generate Mass-Spring Networks for Morphological Computing.” Proceedings of the 2014 International Symposium on Nonlinear Theory and Its Applications (NOLTA2014), IEICE, 2014, pp. 168–71, https://doi.org/10.21256/zhaw-1660.