Abstract
Abstract
Purpose of Review
Starting with a technical categorization and an overview of current exoskeletons and orthoses and their applications, this review focuses on robotic exoskeletons and orthoses for neuromotor rehabilitation and relevant research needed to provide individualized adaptive support to people under complex environmental conditions, such as assisted daily living.
Recent Findings
Many different approaches from the field of autonomous robots have recently been applied to the control of exoskeletons. In addition, approaches from the field of brain-computer interfaces for intention recognition are being intensively researched to improve interaction. Finally, besides stimulation, bidirectional feedback and feedback-based learning are recognized as very important to enable individualized, flexible, and adaptive human assistance.
Summary
AI-based methods for adaptation and online learning of robotic exoskeleton control, combined with intrinsic recognition of human intentions and consent, will in particular lead to improving the quality of human–robot interaction and thus user satisfaction with exoskeleton-based rehabilitation interventions.
Funder
Universität Duisburg-Essen
Publisher
Springer Science and Business Media LLC
Reference128 articles.
1. N. Yagn, “Apparatus for facilitating walking”. Patent US 440684 A, 1890.
2. H. Alfven and H. Kleinwächter, “Syntelmann—und die möglichen Konsequenzen,” Bild der Wissenschaft, 1970.
3. G. Cobb, “Walking motion”. Patent US 2010482 A, 1934.
4. C.-J. Yang, J.-F. Zhang, Y. Chen, Y.-M. Dong and Y. Zhang, “A review of exoskeleton-type systems and their key technologies,” Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, pp. 1599–1612, 2008, doi: https://doi.org/10.1243/09544062JMES936.
5. Y. Sankai, “HAL: hybrid assistive limb based on cybernics,” Kaneko M., Nakamura Y. (eds) Robotic Research. Springer Tracts in Advanced Robotics, 2010, https://doi.org/10.1007/978-3-642-14743-2_3.
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献