Deep reinforcement learning to assess lower extremity movement intention and assist a rehabilitation exoskeleton-Reference-Cited by-同舟云学术

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Deep reinforcement learning to assess lower extremity movement intention and assist a rehabilitation exoskeleton

Published:2024-06-06 Issue: Volume: Page:4
ISSN:
Container-title:Disruptive Technologies in Information Sciences VIII
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Author:

Dizor Robert P.,Raj Anil,Gonzalez Bryan M.,Smith Garhett,carter zachary,rodrigues domingues,newton jacob

Publisher

SPIE

Reference20 articles.

1. Exoskeleton Design Considerations based on the Lower Extremity Musculoskeletal Anatomy

2. A Review of the Machine Learning Algorithms used with High-Density Surface Electromyogram Sensors for Lower Extremity Exoskeletons and Prosthetics

3. Anatomical exoskeleton for movement approximation with neural networks

4. Unilateral Lower Extremity Exoskeleton Utilizing Sensor Fusion Algorithms

5. Hierarchical sliding mode observers for distributed parameter systems

Cited by 1 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

1. Deep Reinforcement Learning Control of an Avatar and Exoskeleton;2024 IEEE Research and Applications of Photonics in Defense Conference (RAPID);2024-08-14

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