Knowledge Commons of Institute of Automation,CAS
Workspace Optimization of a 6-RSS Stewart-Gough Robotic Platform to Assist Ultrasound Diagnosis | |
Deng ZK(邓兆锟)1,2![]() ![]() | |
2021 | |
会议名称 | 2021 IEEE 1st International Conference on Digital Twins and Parallel Intelligence (DTPI) |
会议日期 | 15 July 2021 - 15 August 2021 |
会议地点 | 15 July 2021 - 15 August 2021 |
摘要 | Remote ultrasound diagnosis using a hand-held platform with robotized parallel mechanisms could be a safe and cost-effective solution. However, the biggest difficulty is that the workspace of such mechanism is often small and it is difficult to determine the parameters of the design configuration. In this study, we propose a two-step strategy to optimize a 6-RSS Stewart-Gough platform to meet the clinical requirements. The concept of effective regular workspace and global conditioning index are applied for the analysis of the constant translation and orientation workspaces. To verify the result, computational models were developed for virtual experiments and the resulted workspace has the capability to allow the translational movements from −100 to 100 mm, −106 to 106 mm, and −30 to 30 mm along the x-, y-, and z-axis, respectively. The orientation workspace allows the adjustments of the probe from −20 to 20°, −18 to 19°, and −70 to 70° in pitch, raw, and roll direction, respectively. This meets the clinical demands obtained from the literature and it is concluded that the current method is effective for the optimization of the Stewart-Gough robotic platform when the required movement ranges are given. |
收录类别 | EI |
七大方向——子方向分类 | 智能机器人 |
国重实验室规划方向分类 | 人机混合智能 |
是否有论文关联数据集需要存交 | 否 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/57650 |
专题 | 多模态人工智能系统全国重点实验室_医疗机器人 |
作者单位 | 1.中国科学院自动化研究所 2.中国科学院大学 3.超越(深圳)医疗公司 |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Deng ZK,Hou XL,Wang SY. Workspace Optimization of a 6-RSS Stewart-Gough Robotic Platform to Assist Ultrasound Diagnosis[C],2021. |
条目包含的文件 | 下载所有文件 | |||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
Workspace_Optimizati(563KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 下载 |
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