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10.1038/s41467-017-00109-2 http://scihub22266oqcxt.onion/10.1038/s41467-017-00109-2 C5595853!5595853!28900125     free     free     free       Nat+Commun 2017 ; 8 (ä): ä Nephropedia Template TP {{tp|p=28900125|t=2017. Mergeable nervous systems for robots |pdf=|usr=}}{{28900125}} gab.com Text Mergeable nervous systems for robots JO: Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=28900125 #FOAvip Robots have the potential to display a higher degree of lifetime morphological adaptation than natural organisms. By adopting a modular approach, robots with different capabilities, shapes, and sizes could, in theory, construct and reconfigure themselves as required. However, current modular robots have only been able to display a limited range of hardwired behaviors because they rely solely on distributed control. Here, we present robots whose bodies and control systems can merge to form entirely new robots that retain full sensorimotor control. Our control paradigm enables robots to exhibit properties that go beyond those of any existing machine or of any biological organism: the robots we present can merge to form larger bodies with a single centralized controller, split into separate bodies with independent controllers, and self-heal by removing or replacing malfunctioning body parts. This work takes us closer to robots that can autonomously change their size, form and function. Twit Text FOAVip Mergeable nervous systems for robots ????Nat Commun http://www.kidney.de/pget.php?&tw=1&pmid=28900125 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=28900125 #FOAvip English Wikipedia <ref>{{Cite pmid|28900125}}</ref> Mergeable nervous systems for robots #MMPMID28900125 Mathews N; Christensen AL; O?Grady R; Mondada F; Dorigo M Nat Commun 2017[]; 8 (ä): ä PMID28900125show ga Robots have the potential to display a higher degree of lifetime morphological adaptation than natural organisms. By adopting a modular approach, robots with different capabilities, shapes, and sizes could, in theory, construct and reconfigure themselves as required. However, current modular robots have only been able to display a limited range of hardwired behaviors because they rely solely on distributed control. Here, we present robots whose bodies and control systems can merge to form entirely new robots that retain full sensorimotor control. Our control paradigm enables robots to exhibit properties that go beyond those of any existing machine or of any biological organism: the robots we present can merge to form larger bodies with a single centralized controller, split into separate bodies with independent controllers, and self-heal by removing or replacing malfunctioning body parts. This work takes us closer to robots that can autonomously change their size, form and function. äMergeable nervous systems for robots (epmc).pdf DeepDyve Pubget Overpricing