ArticleTechnology and health care : official journal of the European Society for Engineering and Medicine2024
Design and analysis of a lower limb assistive exoskeleton robot.
Article in Technology and health care : official journal of the European Society for Engineering and Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed.
- Research on Control Strategy of Lower Limb Exoskeleton Robots: A Review.Sensors (Basel, Switzerland) · 2026Review
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Authors and funding
3 authors.
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Abstract
backgroundIn recent years, exoskeleton robot technology has developed rapidly. Exoskeleton robots that can be worn on a human body and provide additional strength, speed or other abilities. Exoskeleton robots have a wide range of applications, such as medical rehabilitation, logistics and disaster relief and other fields.
objectiveThe study goal is to propose a lower limb assistive exoskeleton robot to provide extra power for wearers.
methodsThe mechanical structure of the exoskeleton robot was designed by using bionics principle to imitate human body shape, so as to satisfy the coordination of man-machine movement and the comfort of wearing. Then a gait prediction method based on neural network was designed. In addition, a control strategy according to iterative learning control was designed.
resultsThe experiment results showed that the proposed exoskeleton robot can produce effective assistance and reduce the wearer's muscle force output.
conclusionA lower limb assistive exoskeleton robot was introduced in this paper. The kinematics model and dynamic model of the exoskeleton robot were established. Tracking effects of joint angle displacement and velocity were analyzed to verify feasibility of the control strategy. The learning error of joint angle can be improved with increase of the number of iterations. The error of trajectory tracking is acceptable.
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Registered trials
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