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Merging pruning and neuroevolution: towards robust and efficient controllers for modular soft robots
Autor:
Giorgia Nadizar, Eric Medvet, Hola Huse Ramstad, Stefano Nichele, Felice Andrea Pellegrino, Marco Zullich
Publikováno v:
Knowledge engineering review
e3
e3
Artificial neural networks (ANNs) can be employed as controllers for robotic agents. Their structure is often complex, with many neurons and connections, especially when the robots have many sensors and actuators distributed across their bodies and/o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cd9789536a36828452d38aec674f62e6
https://hdl.handle.net/11250/3040433
https://hdl.handle.net/11250/3040433