Published on Nov 25, 2013
We present a control method for simulated bipeds, in which natural gaits are discovered through optimization. No motion capture or key frame animation was used in any of the results. For more information, see http://goatstream.com/research/papers…
Accompanying video for: F. Corucci, N. Cheney, H. Lipson, C. Laschi and J. Bongard, “Evolving swimming soft-bodied creatures”
The Fifteenth International Conference on the Synthesis and Simulation of Living Systems (ALIFE XV) – Late Breaking Abstract
The research field of evolutionary robotics abstracts some of the major themes in biological evolution (heritable traits, genetic variation, and competition for scarce resources) as tools to allow computers to generate new and interesting virtual creatures. One of the recent themes in this field is towards more embodied robots (those that produce interesting behavior through the design of their bodies, as well as their brains). Here, we build on previous work evolving soft robots to demonstrate the low level embodiment of electrical signals passing information through muscle tissue. Through this work we attempt bridge the divide between embodied cognition and abstracted artificial neural networks. We hope you find the video interesting and entertaining!
This video accompanies the following paper:
Cheney, N., Clune, J., Lipson, H. (2014) “Evolved Electrophysiological Soft Robots”. Proceedings of Artifical Life 14: The Fourteenth International Conference on the Simulation and Synthesis of Living Systems (ALife14). MIT Press.