Evolution of station keeping as a response to flows in an aquatic robot

GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference

Volumn , Issue , 2013, Pages 239-246

  Moore, Jared M ^a   Clark, Anthony J ^a   McKinley, Philip K ^a  

^a Michigan State University   (United States)

Author keywords

Application; Aquatic robotics; Evolutionary robotics; Neural network; Neuroevolution; Simulation; Station keeping

Indexed keywords

ENGINEERING CHALLENGES; EVOLUTIONARY ROBOTICS; INERTIAL MEASUREMENT UNIT; NEURO EVOLUTIONS; PHYSICAL ENVIRONMENTS; SIMULATION; STATION KEEPING; UNDERWATER ENVIRONMENTS;

APPLICATIONS; CALCULATIONS; FLOW OF WATER; HYDRAULICS; NEURAL NETWORKS; UNITS OF MEASUREMENT;

ROBOTS;

EID: 84883129407     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2463372.2463402     Document Type: Conference Paper

References (23)

1. J. M. Anderson and N. K. Chhabra. Maneuvering and stability performance of a robotic tuna. Integrative and Comparative Biology, 42(1):118-126, 2002.
2. N. Bredeche, E. Haasdijk, and A. Eiben. On-line, on-board evolution of robot controllers. In P. Collet, N. Monmarché, P. Legrand, M. Schoenauer, and E. Lutton, editors, Artifical Evolution, volume 5975 of Lecture Notes in Computer Science, pages 110-121. Springer Berlin / Heidelberg, 2010.
3. Z. Chen, S. Shatara, and X. Tan. Modeling of biomimetic robotic fish propelled by an ionic polymer metal composite caudal fin. IEEE/ASME Transactions on Mechatronics, 15(3):448-459, 2010.
4. A. J. Clark, J. M. Moore, J. Wang, X. Tan, and P. K. McKinley. Evolutionary design and experimental validation of a flexible caudal fin for robotic fish. In Proceedings of the 13th International Conference on the Simulation and Synthesis of Living Systems, East Lansing, Michigan, USA, 2012.
5. J. Clune, B. E. Beckmann, C. Ofria, and R. T. Pennock. Evolving coordinated quadruped gaits with the HyperNEAT generative encoding. In Proceedings of the IEEE Congress on Evolutionary Computing, pages 2764-2771, Trondheim, Norway, 2009.
6. M. Epstein, J. E. Colgate, and M. A. MacIver. Generating thrust with a biologically-inspired robotic ribbon fin. In Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 2412-2417, Beijing, China, 2006.
7. R. S. et al. Open Dynamics Engine, http://www.ode.org/, 2012.
8. J. Faria, J. Dyer, R. Clément, I. Couzin, N. Holt, A. Ward, D. Waters, and J. Krause. A novel method for investigating the collective behaviour of fish: introducing 'robofish'. Behavioral Ecology and Sociobiology, 64:1211-1218, 2010.
9. D. Floreano and L. Keller. Evolution of adaptive behaviour in robots by means of darwinian selection. PLoS Biology, 8(1), 2010.
10. F. Gomez and R. Miikkulainen. Active guidance for a finless rocket using neuroevolution. In Proceedings of the 2003 Genetic and Evolutionary Computation Conference, pages 2084-2095. Springer Berlin / Heidelberg, San Francisco, California, USA, 2003.
11. F. J. Gomez and R. Miikkulainen. Active guidance for a finless rocket using neuroevolution. In Proceedings of the Genetic and Evolutionary Computation Conference, pages 2084-2095, San Francisco, 2003. Morgan Kaufmann.
12. Q. Hu, D. R. Hedgepeth, L. Xu, and X. Tan. A framework for modeling steady turning of robotic fish. In Proceedings of the IEEE International Conference on Robotics and Automation, pages 2669-2674, Kobe, Japan, 2009.
13. S. Koos, J. B. Mouret, and S. Doncieux. Crossing the reality gap in evolutionary robotics by promoting transferable controllers. In Proceedings of the 2010 ACM Genetic and Evolutionary Computation Conference, pages 119-126, New York, New York, USA, 2010. ACM.
14. G. V. Lauder and E. G. Drucker. Morphology and Experimental Hydrodynamics of Fish Fin Control Surfaces. IEEE Journal of Oceanic Engineering, 29(3):556-571, 2004.
15. J. Lehman and K. O. Stanley. Abandoning objectives: Evolution through the search for novelty alone. Evolutionary Computation, 19(2):189-223, June 2011.
16. S. Marras and M. Porfiri. Fish and robots swimming together: attraction towards the robot demands biomimetic locomotion. Journal of the Royal Society of Interface, 2012.
17. J. M. Moore and P. K. McKinley. Evolving Flexible Joint Morphologies. In Proceedings of the 2012 ACM Genetic and Evolutionary Computing Conference, Philadelphia, Pennsylvania, USA, 2012. ACM.
18. C. Richter and H. Lipson. Untethered hovering flapping flight of a 3D-printed mechanical insect. Artificial Life, 17:73-86, 2011.
19. K. Sims. Evolving virtual creatures. In Proceedings of the 21st Annual Conference on Computer Graphics and Interactive Techniques, pages 15-22, 1994.
20. K. O. Stanley and R. Miikkulainen. Evolving neural networks through augmenting topologies. Evolutionary Computation, 10(2):99-127, June 2002.
21. X. Tan, M. Carpenter, J. Thon, and F. Alequin-Ramos. Analytical modeling and experimental studies of robotic fish turning. In Proceedings of the 2010 IEEE International Conference on Robotics and Automation, pages 102-108, Anchorage, Alaska, USA, 2010.
22. X. Tan, D. Kim, N. Usher, D. Laboy, J. Jackson, A. Kapetanovic, J. Rapai, B. Sabadus, and X. Zhou. An autonomous robotic fish for mobile sensing. In Proceedings of the 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 5424-5429, Beijing, China, 2006.
23. J. Wang, F. Alequin-Ramos, and X. Tan. Dynamic modeling of robotic fish and its experimental validation. In Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, pages 588-594, San Francisco, California, USA, 2011.