File:Evolution-of-Adaptive-Behaviour-in-Robots-by-Means-of-Darwinian-Selection-pbio.1000292.s003.ogv

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Evolution-of-Adaptive-Behaviour-in-Robots-by-Means-of-Darwinian-Selection-pbio.1000292.s003.ogv(Ogg Theora video file, length 1 min 21 s, 652 × 480 pixels, 484 kbps, file size: 4.7 MB)

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English: Evolution of collision-free navigation. In the initial generations, robots can hardly avoid walls (one robot even approaches objects). After 50 generations, robots can navigate around the looping maze without hitting the walls. (8.15 MB MOV)
Date
Source Video S2 from Floreano D, Keller L. "Evolution of Adaptive Behaviour in Robots by Means of Darwinian Selection". PLOS Biology. DOI:10.1371/journal.pbio.1000292. PMID 20126252. PMC: 2811146.
Author Floreano D, Keller L
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This file is licensed under the Creative Commons Attribution 3.0 Unported license.
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  • to share – to copy, distribute and transmit the work
  • to remix – to adapt the work
Under the following conditions:
  • attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
Copyright owner: Floreano, Keller.
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This file was transferred to Wikimedia Commons from PubMed Central by way of the Open Access Media Importer.
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Date/TimeThumbnailDimensionsUserComment
current00:02, 1 September 20121 min 21 s, 652 × 480 (4.7 MB)Open Access Media Importer Bot (talk | contribs)Uploaded with the Open Access Media Importer. (test edit) botrequest

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Format Bitrate Download Status Encode time
VP9 480P 197 kbps Completed 04:37, 26 August 2018 47 s
Streaming 480p (VP9) 197 kbps Completed 01:38, 7 February 2024 1.0 s
VP9 360P 99 kbps Completed 04:36, 26 August 2018 38 s
Streaming 360p (VP9) 99 kbps Completed 17:26, 13 March 2024 1.0 s
VP9 240P 58 kbps Completed 04:36, 26 August 2018 31 s
Streaming 240p (VP9) 58 kbps Completed 02:11, 21 December 2023 1.0 s
WebM 360P 453 kbps Completed 05:41, 18 November 2012 1 min 3 s
Streaming 144p (MJPEG) 734 kbps Completed 14:24, 10 November 2023 2.0 s

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