A cell-based developmental model to generate robot morphologies

GECCO'12 - Proceedings of the 14th International Conference on Genetic and Evolutionary Computation

Volumn , Issue , 2012, Pages 537-544

  Cussat Blanc, Sylvain ^a   Pollack, Jordan ^a  

^a BRANDEIS UNIVERSITY   (United States)

Author keywords

body plans; cell based developmental model; gene regulatory network; hormonal system; modular robots

Indexed keywords

BODY PLAN; CELL-BASED; DEVELOPMENTAL MODELS; GENE REGULATORY NETWORKS; HORMONAL SYSTEMS; MORPHOGENS; REGULATORY NETWORK; ROBOT MORPHOLOGY; VIRTUAL ROBOTS;

GENES;

MODULAR ROBOTS;

EID: 84864705812     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2330163.2330240     Document Type: Conference Paper

References (26)

1. W. Banzhaf. Artificial regulatory networks and genetic programming. Genetic Programming Theory and Practice, pages 43-62, 2003.
2. P. Bézier. Numerical control; mathematics and applications. John Wiley & Sons, 1972.
3. J. Bongard and R. Pfeifer. Evolving complete agents using artificial ontogeny. Morpho-functional machines: The new species (designing embodied intelligence), pages 237-258, 2003.
4. A. Chavoya and Y. Duthen. A cell pattern generation model based on an extended artificial regulatory network. Biosystems, 94(1-2):95-101, 2008.
5. D. Christensen. Experiments on Fault-Tolerant Self-Reconfiguration and Emergent Self-Repair. In IEEE Symposium on Artificial Life (ALIFE'07), pages 355-361, 2007.
6. J. Clune, B. E. Beckmann, P. K. McKinley, and C. Ofria. Investigating whether hyperneat produces modular neural networks. In Proceedings of the 12th annual conference on Genetic and evolutionary computation, GECCO '10, pages 635-642. ACM, 2010.
7. S. Cussat-Blanc, N. Bredeche, H. Luga, Y. Duthen, and M. Schoenauer. Artificial gene regulatory networks and spatial computation: A case study. In Proceedings of the European Conference on Artificial Life (ECAL'11). MIT Press, Cambridge, MA, 2011.
8. E. H. Davidson. The regulatory genome: gene regulatory networks in development and evolution. Academic Press, 2006.
9. R. Dawkins. The blind watchmaker. Longman Scientific & Technical, 1986.
10. R. Doursat. Organically grown architectures: Creating decentralized, autonomous systems by embryomorphic engineering. Organic Computing, pages 167-200, 2008.
11. P. Eggenberger. Evolving morphologies of simulated 3d organisms based on differential gene expression. In Proceedings of the Fourth European Conference on Artificial Life, pages 205-213. MIT Press, 1997.
12. A. Fontana. Devo co-evolution of shape and metabolism for an artificial organ. Artificial Life XII, H. Fellermann et al., Eds. Boston: MIT Press, pages 16-23, 2010.
13. H. Hamann, J. Stradner, T. Schmickl, and K. Crailsheim. A hormone-based controller for evolutionary multi-modular robotics: From single modules to gait learning. In IEEE Congress on Evolutionary Computation, pages 1-8, 2010.
14. G. Hornby, H. Lipson, and J. Pollack. Generative representations for the automated design of modular physical robots. Robotics and Automation, IEEE Transactions on, 19(4):703-719, 2003.
15. M. Joachimczak and B. Wróbel. Evo-devo in silico: a model of a gene network regulating multicellular development in 3d space with artificial physics. In Proceedings of the 11th International Conference on Artificial Life, pages 297-304. MIT Press, 2008.
16. M. Joachimczak and B. Wróbel. Evolving Gene Regulatory Networks for Real Time Control of Foraging Behaviours. In Proceedings of the 12th International Conference on Arti cial Life, 2010.
17. J. Knabe, M. Schilstra, and C. Nehaniv. Evolution and morphogenesis of differentiated multicellular organisms: autonomously generated diffusion gradients for positional information. Artificial Life XI, 11:321, 2008.
18. H. Lipson and J. Pollack. Automatic design and manufacture of robotic lifeforms. Nature, 406:974-978, 2000.
19. M. Nicolau, M. Schoenauer, and W. Banzhaf. Evolving genes to balance a pole. Genetic Programming, pages 196-207, 2010.
20. T. Reil. Dynamics of gene expression in an artificial genome - implications for biological and artificial ontogeny. Advances in Artificial Life, 1999.
21. C. Reynolds. Interactive evolution of camouage. Artificial Life, 17(2):123-136, 2011.
22. L. Schramm, Y. Jin, and B. Sendhoff. Emerged coupling of motor control and morphological development in evolution of multi-cellular animats. Advances in Artificial Life: Darwin Meets von Neumann, pages 27-34, 2011.
23. J. Secretan, N. Beato, D. B. D Ambrosio, A. Rodriguez, A. Campbell, and K. O. Stanley. Picbreeder: evolving pictures collaboratively online. In Conference on Human Factors in Computing Systems, CHI '08, pages 1759-1768. ACM, 2008.
24. K. Sims. Evolving 3d morphology and behavior by competition. Artificial Life IV, pages 28-39, 1994.
25. M. Yim, W. Shen, B. Salemi, D. Rus, M. Moll, H. Lipson, E. Klavins, and G. Chirikjian. Modular self-reconfigurable robot systems [grand challenges of robotics]. IEEE Robotics & Automation Magazine, 14(1):43-52, 2007.
26. V. Zykov, W. Phelps, N. Lassabe, and H. Lipson. Molecubes Extended: Diversifying Capabilities of Open-Source Modular Robotics. In International Conference on Intelligent RObots and Systems, Self-Reconfigurable Robots Workshop (IROS 08), 2008.