Designing adaptive humanoid robots through the FARSA open-source framework

Autor:	Gianluca Massera, Stefano Nolfi, Onofrio Gigliotta, Tomassino Ferrauto
Přispěvatelé:	G., Massera, T., Ferrauto, Gigliotta, Onofrio, S., Nolfi
Jazyk:	angličtina
Rok vydání:	2014
Předmět:	Social robot Computer science business.industry Evolutionary robotics Evolutionary algorithm Experimental and Cognitive Psychology Robotics simulation framework Robot control Behavioral Neuroscience embodied cognition open software Robot Artificial intelligence business iCub Humanoid robot
Zdroj:	Adaptive behavior (Online) 22 (2014): 255–265. doi:10.1177/1059712314536909 info:cnr-pdr/source/autori:Massera G.; Ferrauto T.; Gigliotta O.; Nolfi S./titolo:Designing adaptive humanoid robots through the FARSA open-source framework/doi:10.1177%2F1059712314536909/rivista:Adaptive behavior (Online)/anno:2014/pagina_da:255/pagina_a:265/intervallo_pagine:255–265/volume:22
DOI:	10.1177/1059712314536909
Popis:	We introduce FARSA, an open-source Framework for Autonomous Robotics Simulation and Analysis, that allows us to easily set up and carry on adaptive experiments involving complex robot/environmental models. Moreover, we show how a simulated iCub robot can be trained, through an evolutionary algorithm, to display reaching and integrated reaching and grasping behaviours. The results demonstrate how the use of an implicit selection criterion, estimating the extent to which the robot is able to produce the expected outcome without specifying the manner through which the action should be realized, is sufficient to develop the required capabilities despite the complexity of the robot and of the task. © The Author(s) 2014.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a07dfba3398f487177917969d7ce8f55 http://hdl.handle.net/11588/587020 Zobrazit plný text záznamu