The DOI matches its Crossref record; 101 of the 101 references it cites were found in a registry or an index.
A Review on Design of Upper Limb Exoskeletons
Open accessAbstract
Exoskeleton robotics has ushered in a new era of modern neuromuscular rehabilitation engineering and assistive technology research. The technology promises to improve the upper-limb functionalities required for performing activities of daily living. The exoskeleton technology is evolving quickly but still needs interdisciplinary research to solve technical challenges, e.g., kinematic compatibility and development of effective human–robot interaction. In this paper, the recent development in upper-limb exoskeletons is reviewed. The key challenges involved in the development of assistive exoskeletons are highlighted by comparing available solutions. This paper provides a general classification, comparisons, and overview of the mechatronic designs of upper-limb exoskeletons. In addition, a brief overview of the control modalities for upper-limb exoskeletons is also presented in this paper. A discussion on the future directions of research is included.
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Cites
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A survey on robotic devices for upper limb rehabilitation
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State of the Art and Future Directions for Lower Limb Robotic Exoskeletons
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Exoskeleton robots for upper-limb rehabilitation: State of the art and future prospects
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An EMG-Based Control for an Upper-Limb Power-Assist Exoskeleton Robot
Kiguchi, K., & Hayashi, Y. (2012) · IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) · doi:10.1109/tsmcb.2012.2185843 · Cited by 531
Klamroth-Marganska, V., Blanco, J., Campen, K., Curt, A., Dietz, V., Ettlin, T., Felder, M., Fellinghauer, B., Guidali, M., Kollmar, A., et al. (2014) · The Lancet Neurology · doi:10.1016/s1474-4422(13)70305-3 · Cited by 522
Cited by
Robust Sensor Fusion and Biomimetic Control of a Lower-Limb Exoskeleton With Multimodal Sensors
Arceo, J. C., Yu, L., & Bai, S. (2025) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2024.3421318 · Cited by 19
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Metadata
- Authors
- Gull, M. A., Bai, S., & Bak, T.
- Venue
- Robotics
- Publisher
- MDPI AG
- Published
- 2020-03-17
- Volume
- 9
- Issue
- 1
- Pages
- 16
- ISSN
- 2218-6581 (ISSN-L)
- OpenAlex
- W3012542762
- Cited by
- 435
- References
- 101
- FWCI
- 18.14
- Type
- journal article
- Language
- en
- Open access
- gold
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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