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• W148380911 abstract "In order to perform a reaching movement towards a moving target, an autonomously learning robot must first learn several transformations, such as motion detection, coordinate transformation between the camera and the arm and the inverse model of the arm. A curious reaching robot learns them better by performing the appropriate actions so as to expedite and improve their learning speed and accuracy. We implement a model of hierarchical curiosity loops in an autonomous active learning robot, whereby each loop converges to the optimal action that maximizes the robot’s learning of the appropriate transformation. It results in the emergence of unique behaviors that ultimately lead to the capability of reaching.KeywordsCuriosityemergent behaviorautonomous learning" @default.
• W148380911 created "2016-06-24" @default.
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• W148380911 date "2012-01-01" @default.
• W148380911 modified "2023-09-25" @default.
• W148380911 title "A Curious Emergence of Reaching" @default.
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• W148380911 doi "https://doi.org/10.1007/978-3-642-32527-4_1" @default.
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