@inproceedings{234128751e76436980b9eb6a33ccde23,
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",
note = "This work was supported by EU grant BIOTACT (ICT215910), the Israeli Science Foundation Grant No. 749/10, the United StatesIsrael Bi-national Science Foundation (BSF) Grant No. 2007121, and the Minerva Foundation funded by the Federal German Ministry for Education and Research. G.G. was supported by the Clore fellowship. E.A. holds the Helen Diller Family Professorial Chair of Neurobiology; Joint of the 13th Annual Conference on Towards Autonomous Robotic Systems, TAROS 2012 and the 15th Annual FIRA RoboWorld Congress ; Conference date: 20-08-2012 Through 23-08-2012",
year = "2012",
doi = "10.1007/978-3-642-32527-4\_1",
language = "الإنجليزيّة",
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",
}