A Novel IMUBased 6-DOF Pose Tracking Method for Parallel-Mechanism-Based Ultrasound Robot
Deng ZK(邓兆锟)1,2; Hou XL(侯西龙)3; Zhang PC(张鹏程)1,2; Hao MR(郝明瑞)1,2; Chen C(陈晨)1; Wang SY(王双翌)1,2,3
2023
会议名称2023 IEEE International Conference on Mechatronics and Automation (ICMA)
会议日期06-09 August 2023
会议地点Harbin, Heilongjiang, China
摘要

Parallel-mechanism-based ultrasound robots bring the benefits of convenient robot-assisted remote ultrasound or automated scanning. During the use of this type of robot, accurate tracking and feedback of 6-DOF posture are critical for potential intelligent control and real-time navigation. However, this presents significant challenges due to the complex forward kinematics and environmental changes, making it difficult to apply in practical settings. To address this issue, we propose a novel 6-DOF pose tracking method based on an inertial measurement unit. This method directly senses the orientation and calculates the position using the intrinsic structural and kinematic characteristics of the parallel mechanisms. Therefore, it is possible to solve all posture information by only partial posture information. We conducted both simulation and physical experiments to evaluate effectiveness and robustness of the proposed method. The maximal tracking errors for the physical experiments are within the 2 mm and 0.6.°. The experimental results show promising performance, demonstrating the method’s potential for practical applications.

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-算法混合与协同决策
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文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/57651
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.香港科创中心
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,Zhang PC,et al. A Novel IMUBased 6-DOF Pose Tracking Method for Parallel-Mechanism-Based Ultrasound Robot[C],2023.
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