000200995 001__ 200995
000200995 005__ 20190316235959.0
000200995 0247_ $$2doi$$a10.7551/978-0-262-32621-6-ch022
000200995 037__ $$aCONF
000200995 245__ $$aRoboGen: Robot Generation through Artificial Evolution
000200995 269__ $$a2014
000200995 260__ $$bThe MIT Press$$c2014
000200995 336__ $$aConference Papers
000200995 520__ $$aScience instructors from a wide range of disciplines agree that hands-on laboratory components of courses are pedagogically necessary (Freedman, 1997). However, certain shortcomings of current laboratory exercises have been pointed out by several authors (Mataric, 2004; Hofstein and Lunetta, 2004). The overarching theme of these analyses is that hands-on components of courses tend to be formulaic, closed-ended, and at times outdated. To address these issues, we envision a novel platform that is not only a didactic tool but is also an experimental testbed for users to play with different ideas in evolutionary robotics (Nolfi and Floreano, 2000), neural networks, physical simulation, 3D printing, mechanical assembly, and embedded processing. Here, we introduce RoboGen™: an open-source software and hardware platform designed for the joint evolution of robot morphologies and controllers a la Sims (1994); Lipson and Pollack (2000); Bongard and Pfeifer (2003). Robo- Gen has been designed specifically to allow evolved robots to be easily manufactured via widely available desktop 3D-printers, and the use of simple, open-source, low-cost, offthe- shelf electronic components. RoboGen features an evolution engine complete with a physics simulator, as well as utilities both for generating design files of body components for 3D printing, and for compiling neural-network controllers to run on an Arduino microcontroller board.
000200995 6531_ $$aRobot
000200995 6531_ $$aEvolution
000200995 6531_ $$aMorphology
000200995 6531_ $$a3D Printing
000200995 6531_ $$aSimulation
000200995 6531_ $$aEducation
000200995 6531_ $$aEvolutionary Robotics
000200995 700__ $$aAuerbach, Joshua
000200995 700__ $$0247345$$g231172$$aAydin, Deniz
000200995 700__ $$0244468$$g195419$$aMaesani, Andrea
000200995 700__ $$aKornatowski, Przemyslaw
000200995 700__ $$aCieslewski, Titus
000200995 700__ $$aHeitz, Grégoire
000200995 700__ $$aFernando, Pradeep
000200995 700__ $$0247037$$g230183$$aLoshchilov, Ilya
000200995 700__ $$aDaler, Ludovic$$0245479$$g175472
000200995 700__ $$0240742$$g111729$$aFloreano, Dario
000200995 7112_ $$dJuly 30-August 2, 2014$$cNew York, NY, USA$$aArtificial Life 14: International Conference on the Synthesis and Simulation of Living Systems
000200995 773__ $$tArtificial Life 14: Proceedings of the Fourteenth International Conference on the Synthesis and Simulation of Living Systems$$q136-137
000200995 8564_ $$uhttp://www.robogen.org/$$zURL
000200995 8564_ $$uhttps://infoscience.epfl.ch/record/200995/files/978-0-262-32621-6-ch022.pdf$$zPublisher's version$$s866766$$yPublisher's version
000200995 909C0 $$xU10370$$0252161$$pLIS
000200995 909CO $$qGLOBAL_SET$$pconf$$ooai:infoscience.tind.io:200995$$pSTI
000200995 917Z8 $$x239571
000200995 917Z8 $$x255330
000200995 937__ $$aEPFL-CONF-200995
000200995 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000200995 980__ $$aCONF