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        <title>Self-Assembling Robots and the Potential of Artificial Evolution | Emma Hart | TED</title>
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        <description>What if robots could build and optimize themselves -- with little to no help from humans? Computer scientist Emma Hart is working on a new technology that could make "artificial evolution" possible. She explains how the three ingredients of biological evolution can be replicated digitally to build robots that can self-assemble and adapt to any environment -- from the rocky terrain of other planets to the darkest depths of the ocean -- potentially ushering in a new generation of exploration. If you love watching TED Talks like this one, become a TED Member to support our mission of spreading ideas: http://ted.com/membership Follow TED! Twitter: http://twitter.com/TEDTalks Instagram: https://www.instagram.com/ted/ Facebook: http://facebook.com/TED LinkedIn: https://www.linkedin.com/company/ted-conferences/ TikTok: https://www.tiktok.com/@tedtoks The TED Talks channel features talks, performances and original series from the world's leading thinkers and doers. Subscribe to our channel for videos on Technology, Entertainment and Design — plus science, business, global issues, the arts and more. Visit http://TED.com to get our entire library of TED Talks, transcripts, translations, personalized talk recommendations and more. Watch more: https://go.ted.com/emmahart https://youtu.be/1Rr-pZoftho For more fascinating talks from TED Women: https://www.youtube.com/playlist?list=PLOGi5-fAu8bH1aqR3ZBQ-njyeLtKcSk-T TED's videos may be used for non-commercial purposes under a Creative Commons License, Attribution–Non Commercial–No Derivatives (or the CC BY – NC – ND 4.0 International) and in accordance with our TED Talks Usage Policy (https://www.ted.com/about/our-organization/our-policies-terms/ted-talks-usage-policy). For more information on using TED for commercial purposes (e.g. employee learning, in a film or online course), please submit a Media Request at https://media-requests.ted.com #TEDWomen #EmmaHart</description>
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