@inproceedings{429a8775c62a4850a55c694824f7b1b1,
title = "Self-exploration of the stumpy robot with predictive information maximization",
abstract = "One of the long-term goals of artificial life research is to create autonomous, self-motivated, and intelligent animats. We study an intrinsic motivation system for behavioral self-exploration based on the maximization of the predictive information using the Stumpy robot, which is the first evaluation of the algorithm on a real robot. The control is organized in a closed-loop fashion with a reactive controller that is subject to fast synaptic dynamics. Even though the available sensors of the robot produce very noisy and peaky signals, the self-exploration algorithm was successful and various emerging behaviors were observed.",
keywords = "dynamical systems, information theory, intrinsic motivation, learning, robot control, Self-exploration",
author = "Georg Martius and Luisa Jahn and Helmut Hauser and Hafner, {Verena V.}",
year = "2014",
month = jan,
day = "1",
doi = "10.1007/978-3-319-08864-8_4",
language = "English",
isbn = "9783319088631",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "32--42",
booktitle = "From Animals to Animats 13 - 13th International Conference on Simulation of Adaptive Behavior, SAB 2014, Proceedings",
address = "Germany",
note = "13th International Conference on the Simulation of Adaptive Behavior, SAB 2014 ; Conference date: 22-07-2014 Through 25-07-2014",
}