@inproceedings{83ddfad3bdd9446f8245c0312c4380af,
title = "Joint stiffness tuning of exoskeleton robot H2 by tacit learning",
abstract = "Joint stiffness of the exoskeleton robot is one of the most important factors to support bipedal walking. In this paper, we discuss the robot joint stiffness tuning algorithm using the bio-mimetic learning method called tacit learning. We experimentally showed that the pro- posed controller can tune the joint stiffness of the exoskeleton robot by tuning the integral gain in the controller. The walking experiment wear- ing the exoskeleton robot suggest that the stiffness tuning is applicable to control the walking speed.",
keywords = "Exoskeleton robot, Tacit learning, Walking support",
author = "Shingo Shimoda and {\'A}lvaro Costa and Prieto, {Guillermo Asin} and Shotaro Okajima and Eduardo In{\'a}ez and Yasuhisa Hasegawa and {Azor In}, {Jose M.} and Pons, {Jose L} and Moreno, {Juan C.}",
note = "Publisher Copyright: {\textcopyright}Springer International Publishing Switzerland 2015; 4th International Workshop on Symbiotic Interaction, Symbiotic 2015 ; Conference date: 07-10-2015 Through 08-10-2015",
year = "2015",
doi = "10.1007/978-3-319-24917-9_15",
language = "English (US)",
isbn = "9783319249162",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "134--138",
editor = "Jonathan Freeman and Anna Spagnolli and Benjamin Blankertz and Giulio Jacucci and Luciano Gamberini and Anna Spagnolli",
booktitle = "Symbiotic Interaction - 4th International Workshop, Symbiotic 2015, Proceedings",
}