An assist-as-needed controller for robotic rehabilitation therapy based on RBF network | |
Luo, Lincong1,2; Peng, Liang1; Wang, Chen1,2; Hou, Zengguang1,3; Wang, Weiqun1 | |
2018 | |
会议日期 | 2018-7 |
会议地点 | Rio de Janeiro, Brazil |
英文摘要 | The rehabilitation training with active involvement and efforts of impaired subjects can enhance the outcome of rehabilitation therapies. To promote patients’ voluntary engagement, a variety of assist as needed (AAN) controllers have been proposed for robot-aided therapy. However, patients’ impairment level is not taken into account in the implementation of those control schemes. In this study, a novel AAN controller is developed for upper limb rehabilitation therapy. The control paradigm uses Gaussian radial basis function (RBF) network o learn the model of subjects’ motor capability in workspace. The update of weight vectors of RBF network is based on a greedy strategy, which has the potential to promote subjects’voluntary engagement by providing task challenge for them. Considering the difference in the impairment degree of patients, the assistance and impedance level of robot control is regulated based on the task performance of patients. The results of experiments at four healthy subjects verify the feasibility and adaptability of the proposed AAN controller. |
会议录出版者 | IEEE |
内容类型 | 会议论文 |
源URL | [http://ir.ia.ac.cn/handle/173211/23642] |
专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
通讯作者 | Hou, Zengguang |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences 3.CAS Center for Excellence in Brain Science and Intelligence Technology |
推荐引用方式 GB/T 7714 | Luo, Lincong,Peng, Liang,Wang, Chen,et al. An assist-as-needed controller for robotic rehabilitation therapy based on RBF network[C]. 见:. Rio de Janeiro, Brazil. 2018-7. |
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