Modeling the stroke process in table tennis robot using neural network
文献类型：会议论文
| 作者 | Zhang K(张鵾) ; Fang Zaojun; Liu Jianran; Tan Min
|
| 出版日期 | 2016-02-25 |
| 会议日期 | 2015 |
| 会议地点 | Zhuhai, China |
| 关键词 | Neural Networks Trajectory Cameras Robot Kinematics Machine Vision Data Models |
| 页码 | 243-248 |
| 英文摘要 | To hit incoming balls back to a desired position, it is a key factor for table tennis robot to get racket parameters accurately. For modeling the stroke process, a novel model is built based on multiple neural networks. The input data for neural networks are the ball velocity differences during the stroke, and racket parameters are the output data. To reduce the influences from the invalid data, a neural network based on each empirical data is established. The training data are clustered based on the empirical data. The way of choosing a neural network to compute the racket parameters depends on the comparison between the new coming data and the empirical data. Moreover, a novel way based on a binocular vision system to verify the stroke model is proposed. Experimental results have showed that the stroke model created via the proposed method is applicable and the verification method is effective. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/21171]  |
| 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 |
| 作者单位 | 中国科学院自动化所 |
| 推荐引用方式 GB/T 7714 | Zhang K,Fang Zaojun,Liu Jianran,et al. Modeling the stroke process in table tennis robot using neural network[C]. 见:. Zhuhai, China. 2015. |
入库方式： OAI收割
来源：自动化研究所
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