EvoFab: A Fully Embodied Evolutionary Fabricator

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John Rieffel and Dave Sayles: EvoFab: A Fully Embodied Evolutionary Fabricator. Proceedings of the 9th International Conference Evolvable Systems: From Biology to Hardware, ICES 2010, Lecture Notes in Computer Science, Vol. 6274, pp. 372-380, Springer, September 6-8 2010.




Few evolved designs are subsequently manufactured into physical objects – the vast majority remain on the virtual drawing board. We suggest two sources of this ”Fabrication Gap”. First, by being descriptive rather than prescriptive, evolutionary design runs the risk of evolving interesting yet unbuildable objects. Secondly, in a wide range of interesting and high-complexity design domains, such as dynamic and highly flexible objects, the gap between simulation and reality is too large to guarantee consilience between design and object. We suggest that one compelling alternative to evolutionary design in these complex domains is to avoid both simulation and description, and instead evolve artifacts directly in the real world. In this paper we introduce EvoFab: a fully embodied evolutionary fabricator, capable of producing novel objects (rather than virtual designs) in situ. EvoFab thereby opens the door to a wide range of incredibly exciting evolutionary design domains.

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Used References

l-Sakran, S.H., Koza, J.R., Jones, L.W.: Automated re-invention of a previously patented optical lens system using genetic programming. In: Keijzer, M., Tettamanzi, A.G.B., Collet, P., van Hemert, J., Tomassini, M. (eds.) EuroGP 2005. LNCS, vol. 3447, pp. 25–37. Springer, Heidelberg (2005) http://dx.doi.org/10.1007/978-3-540-31989-4_3

Barnett, E., Angeles, J., Pasini, D., Sijpkes, P.: Robot-assisted rapid prototyping for ice structures. In: IEEE Int. Conf. on Robotics and Automation (2009)

Dawkins, R.: The Blind Watchmaker. W. W. Norton & Company, Inc. (September 1986)

Funes, P., Pollack, J.B.: Evolutionary body building: Adaptive physical designs for robots. Artificial Life 4(4), 337–357 (1998) http://dx.doi.org/10.1162/106454698568639

Hornby, G.S., Pollack, J.B.: The advantages of generative grammatical encodings for physical design. In: Proceedings of the 2001 Congress on Evolutionary Computation CEC 2001, COEX, World Trade Center, 159 Samseong-dong, Gangnam-gu, Seoul, Korea, 27-30 2001, pp. 600–607. IEEE Press, Los Alamitos (2001) http://dx.doi.org/10.1109/CEC.2001.934446

Lohn, J.D., Hornby, G.S., Linden, D.S.: An Evolved Antenna for Deployment on NASA’s Space Technology 5 Mission. In: O’Reilly, U.-M., Riolo, R.L., Yu, T., Worzel, B. (eds.) Genetic Programming Theory and Practice II. Kluwer, Dordrecht (2005)

Pollack, J.B., Lipson, H., Hornby, G., Funes, P.: Three generations of automatically designed robots. Artificial Life 7(3), 215–223 (Summer 2001)

Rieffel, J.: Evolutionary Fabrication: the co-evolution of form and formation. PhD thesis, Brandeis University (2006)

Rieffel, J., Pollack, J.: The Emergence of Ontogenic Scaffolding in a Stochastic Development Environment. In: Deb, K., et al. (eds.) GECCO 2004. LNCS, vol. 3102, pp. 804–815. Springer, Heidelberg (2004)

Rieffel, J., Valero-Cuevas, F., Lipson, H.: Automated discovery and optimization of large irregular tensegrity structures. Computers & Structures 87(5-6), 368–379 (2009) http://dx.doi.org/10.1016/j.compstruc.2008.11.010

Sims, K.: Interactive evolution of dynamical systems. In: First European Conference on Artificial Life. MIT Press, Cambridge (1991)

Sims, K.: Evolving 3d morphology and behavior by competition. In: Brooks, R., Maes, P. (eds.) Artificial Life IV Proceedings, pp. 28–39. MIT Press, Cambridge (1994)

Thompson, A.: Silicon evolution, Stanford University, pp. 444–452. MIT Press, Cambridge (1996)

Vilbrandt, T., Malone, E., Lipson, H., Pasko, A.: Universal desktop fabrication. Heterogenous Objects Modeling and Applications, 259–284 (2008)

Watson, R.A., Ficici, S.G., Pollack, J.B.: Embodied evolution: Embodying an evolutionary algorithm in a population of robots. In: Angeline, P.J., Michalewicz, Z., Schoenauer, M., Yao, X., Zalzala, A. (eds.) Proceedings of the Congress on Evolutionary Computation, Mayflower Hotel, Washington D.C., USA, 6-9 1999, vol. 1, pp. 335–342. IEEE Computer Society Press, Los Alamitos (1999)

Whitley, D., Beveridge, J.R., Guerra-Salcedo, C., Graves, C.: Messy genetic algorithms for subset feature selection. In: International Conference on Genetic Algorithms, ICGA 1997 (1997)


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