On-line Dynamic Gait Generation Model for Wearable Robot with User Motion Intention
文献类型：会议论文
| 作者 | Hao Ren; Duxin Liu; Niannian Li; Yong He; Zefeng Yan; Xinyu Wu |
| 出版日期 | 2018 |
| 会议日期 | 2018 |
| 会议地点 | Wuyishan, China |
| 英文摘要 | In this paper, an on-line dynamic gait generation model is proposed, which makes it possible to plan real-time gait trajectories in continuous motion process online. The model enables wearers to perform complex movements in different scenes with the help of an exoskeleton robot. Meanwhile, based on multi-sensor fusion, a method is designed to detect the wearers’ movement intention. The gait trajectories generated by the proposed algorithm are applied to the lightweight lower-limb exoskeleton robot (LLEX). The experimental results show that the algorithm can accurately and effectively plan wearers’ movement trajectories of lower limbs, and freely perform various gait patterns, indicating the described algorithm is credible enough to generate dynamic gait patterns for wearable exoskeleton robots. |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/13824]  |
| 专题 | 深圳先进技术研究院_集成所 |
| 推荐引用方式 GB/T 7714 | Hao Ren,Duxin Liu,Niannian Li,et al. On-line Dynamic Gait Generation Model for Wearable Robot with User Motion Intention[C]. 见:. Wuyishan, China. 2018. |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。