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Thread: Miscellaneous

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    Evolved Electrophysiological Soft Robots

    Published on Jun 29, 2014

    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.

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    Evolutionary robotic prototype
    July 29, 2015

    Work in progress - Physical prototype testing

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    Get Excited - The Robots Are Evolving!

    Published on Sep 23, 2015

    Do machines have what it takes to evolve? Will the future be filled with robots capable of faster, more efficient and more complex designs than we could ever come up with?

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    Karl Sims - Evolved Virtual Creatures, Evolution Simulation, 1994

    Uploaded on Dec 6, 2008

    This video shows results from a research project involving simulated Darwinian evolutions of virtual block creatures. A population of several hundred creatures is created within a supercomputer, and each creature is tested for their ability to perform a given task, such the ability to swim in a simulated water environment. Those that are most successful survive, and their virtual genes containing coded instructions for their growth, are copied, combined, and mutated to make offspring for a new population. The new creatures are again tested, and some may be improvements on their parents. As this cycle of variation and selection continues, creatures with more and more successful behaviors can emerge.
    More info:
    "Evolved Virtual Creatures", 1994

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    Press-release "How sensorimotor intelligence may develop"
    Robotic systems controlled by neural network spontaneously develop self-organized behaviors

    October 27, 2015

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    Playlist EVOLUTION (neuroevolution)

    Evolving stuff...
    2D sticky creatures learn to walk, jump, stay vertical and vertical jump...
    Software written in VB6. (artificial neural network and genetic algorithm)

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    The philosophical implications of evolutionary robotics. (Mar 2016)

    Published on Mar 18, 2016

    Delivered by Josh Bongard
    to the faculty and students of the History and Philosophy of Science (HPS) department at the University of Pittsburgh.

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