@inproceedings{e244afe37b5940e5b1458e5203dc7ef1,
title = "Motion and visual control for an upper-limb exoskeleton robot via learning",
abstract = "The arrival of an aging society brings up many challenges, including the demanding need in medical resources. In responding, the exoskeleton robot becomes one of the focuses, which provides assistance for people with locomotive problems. Motivated by it, our laboratory has developed a wearable upper-limb exoskeleton robot, named as HAMEXO. It is of 2 DOF and intended to provide motion assistance for users in their daily activities. To serve the purpose, HAMEXO is equipped with a visual system to detect objects in the environment, and also a motion controller for its governing. To deal with the coupling involved during the movements of the two joints and the need to adapt to various users, we adopted the learning approach for controller design. Experiments are performed to demonstrate its effectiveness.",
keywords = "Learning, Motion and visual control, Upper-limb exoskeleton robot",
author = "Huang, {Jian Bin} and Lin, {I. Yu} and Kuu-Young Young and Ko, {Chun Hsu}",
note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG 2017.; 14th International Symposium on Neural Networks, ISNN 2017 ; Conference date: 21-06-2017 Through 26-06-2017",
year = "2017",
doi = "10.1007/978-3-319-59081-3_5",
language = "English",
isbn = "9783319590806",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "36--43",
editor = "Fengyu Cong and Qinglai Wei and Andrew Leung",
booktitle = "Advances in Neural Networks - ISNN 2017 - 14th International Symposium, ISNN 2017, Proceedings",
address = "Germany",
}