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Masengo G, Zhang X, Dong R, Alhassan AB, Hamza K, Mudaheranwa E. Lower limb exoskeleton robot and its cooperative control: A review, trends, and challenges for future research. Front Neurorobot 2023; 16:913748. [PMID: 36714152 PMCID: PMC9875327 DOI: 10.3389/fnbot.2022.913748] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2022] [Accepted: 12/19/2022] [Indexed: 01/12/2023] Open
Abstract
Effective control of an exoskeleton robot (ER) using a human-robot interface is crucial for assessing the robot's movements and the force they produce to generate efficient control signals. Interestingly, certain surveys were done to show off cutting-edge exoskeleton robots. The review papers that were previously published have not thoroughly examined the control strategy, which is a crucial component of automating exoskeleton systems. As a result, this review focuses on examining the most recent developments and problems associated with exoskeleton control systems, particularly during the last few years (2017-2022). In addition, the trends and challenges of cooperative control, particularly multi-information fusion, are discussed.
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Affiliation(s)
- Gilbert Masengo
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China,Shaanxi Key Laboratory of Intelligent Robot, Xi'an Jiaotong University, Xi'an, China,Department of Mechanical Engineering, Rwanda Polytechnic/Integrated Polytechnic Regional College (IPRC) Karongi, Kigali, Rwanda,*Correspondence: Gilbert Masengo ✉
| | - Xiaodong Zhang
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China,Shaanxi Key Laboratory of Intelligent Robot, Xi'an Jiaotong University, Xi'an, China
| | - Runlin Dong
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China,Shaanxi Key Laboratory of Intelligent Robot, Xi'an Jiaotong University, Xi'an, China
| | - Ahmad B. Alhassan
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China,Shaanxi Key Laboratory of Intelligent Robot, Xi'an Jiaotong University, Xi'an, China
| | - Khaled Hamza
- School of Mechanical Engineering, Xi'an Jiaotong University, Xi'an, China,Shaanxi Key Laboratory of Intelligent Robot, Xi'an Jiaotong University, Xi'an, China
| | - Emmanuel Mudaheranwa
- Department of Mechanical Engineering, Rwanda Polytechnic/Integrated Polytechnic Regional College (IPRC) Karongi, Kigali, Rwanda,Department of Engineering, Cardiff University, Cardiff, United Kingdom
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Zhang X, Xu Z, Liao H. Human motion tracking and 3D motion track detection technology based on visual information features and machine learning. Neural Comput Appl 2022. [DOI: 10.1007/s00521-021-06703-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
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