@inproceedings{7d4f0fd4ed2b492c824aa59578bd2806,
title = "A curious emergence of reaching",
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.",
keywords = "Curiosity, autonomous learning, emergent behavior",
author = "Goren Gordon and Ehud Ahissar",
year = "2012",
doi = "10.1007/978-3-642-32527-4_1",
language = "אנגלית",
isbn = "9783642325267",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
pages = "1--12",
booktitle = "Advances in Autonomous Robotics - Joint Proceedings of the 13th Annual TAROS Conference and the 15th Annual FIRA RoboWorld Congress",
note = "null ; Conference date: 20-08-2012 Through 23-08-2012",
}