Task Space Compliant Control and Six-Dimensional Force Regulation Toward Automated Robotic Ultrasound Imaging

计算机科学 人工智能 笛卡尔坐标系 运动(物理) 理论(学习稳定性) 任务(项目管理) 运动学 控制理论(社会学) 计算机视觉 模拟 控制(管理) 数学 工程类 物理 机器学习 几何学 经典力学 系统工程
作者
Junchen Wang,Chunheng Lu,Yifei Lv,Siqin Yang,Mingbo Zhang,Yu Shen
出处
期刊:IEEE Transactions on Automation Science and Engineering [Institute of Electrical and Electronics Engineers]
卷期号:21 (3): 3652-3663 被引量:6
标识
DOI:10.1109/tase.2023.3282974
摘要

Objective: We propose a general control framework for task space compliant motion and six-dimensional (6-D) force regulation towards automated robotic ultrasound (US) imaging. The framework endows a position-controlled robotic manipulator with the capability of accurate compliant motion in free space and accurate force control in motion-constrained environment. Methods: An intuitive six degree-of-freedom (6-DoF) admittance control model expressed in an arbitrary Cartesian body frame is mathematically derived with closed-form task space error mapping. Its practical implementation on widely-used collaborative manipulators is proposed to achieve full task space compliant behaviors and accurate 6-D force control. A hybrid control law is presented to achieve good motion accuracy in free space and improved coupled stability in motion-constrained environment. The coupled model of physical human-robot interaction is established and the reason for the improved coupled stability is analyzed through simulation. Results: Evaluation experiments on the proposed control framework were performed to show the effectiveness. The mean error of compliant trajectory following was less than 0.30 mm in free space. The mean relative force and moment control accuracy in three orthogonal directions was better than 0.5% and 0.8%, respectively. The improved coupled stability under the same model parameters was also confirmed by human-robot interaction experiments. Finally, an automated robotic US imaging experiment on a human volunteer in a real clinical scenario was carried out to show the potential application of our proposed framework. Conclusion: Experimental results have shown the advantages of the control framework, including satisfied force control accuracy, high accuracy of compliant motion, improved coupled stability, and system effectiveness on a human volunteer. Note to Practitioners —This paper was motivated by the increasing needs of automated ultrasound (US) scanning for both diagnostic and interventional purpose. Clinical sonographers suffer from repeated workload when performing diagnostic US imaging, which could benefit from automated robotic scanning. Robotic US imaging involves physical interaction between the robot end-effector (i.e., US transducer) and the human body. The dynamics of the interaction is regulated by the control law to guarantee the contact of the US transducer and the safety of the procedure. Most existing works have focused on regulating in-plane contact force in terms of the position without considering the compliance in other dimensions. However, it is not a trivial work to extend the positional compliance to six degree-of-freedom (6-DoF) compliance. As the prevalence of low-cost collaborative robotic arms in medical scenarios, how to perform 6-DoF compliant trajectory following and accurate six-dimensional (6-D) force control on these robotic arms becomes increasingly important. This paper gives a complete general solution to achieve 6-DoF compliant control and 6-D force regulation with accurate kinematics on a position-controlled robotic arm. A hybrid control law is proposed to switch the government of "instantaneous model" and "theoretical model" to achieve compliant motion accuracy in free space and improved coupled stability in motion-constrained environment. No expensive torque sensors and torque control interface are required. And no prior geometric knowledge about the scanning object is needed. We have demonstrated the application for robotic US imaging in a real clinical scenario.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
cdhuang完成签到,获得积分10
刚刚
blossoms完成签到 ,获得积分10
1秒前
冷静靖荷应助nicole采纳,获得10
1秒前
在水一方应助wp采纳,获得10
2秒前
guo完成签到,获得积分20
3秒前
科研通AI5应助咚咚咚咚雨采纳,获得30
3秒前
3秒前
秋收冬藏发布了新的文献求助10
4秒前
4秒前
6秒前
hamburger完成签到,获得积分10
6秒前
6秒前
6秒前
happy发布了新的文献求助10
8秒前
lanjinglin完成签到,获得积分10
9秒前
Hello应助吕佩昌采纳,获得20
9秒前
傲娇文博发布了新的文献求助10
9秒前
9秒前
珂珂发布了新的文献求助10
10秒前
12秒前
哈哈发布了新的文献求助10
12秒前
跳跃绮山发布了新的文献求助20
13秒前
13秒前
lh发布了新的文献求助10
14秒前
朱大帅完成签到,获得积分10
14秒前
烟花应助我凑凑采纳,获得10
14秒前
15秒前
等待的毛衣完成签到 ,获得积分10
16秒前
77777发布了新的文献求助10
17秒前
华仔应助vira采纳,获得10
17秒前
18秒前
18秒前
洛尚发布了新的文献求助10
18秒前
乐观寻雪应助小小太阳采纳,获得10
18秒前
坛子完成签到,获得积分10
19秒前
高速旋转老沁完成签到 ,获得积分10
19秒前
情怀应助李小伟采纳,获得10
20秒前
20秒前
跳跃绮山完成签到,获得积分10
21秒前
wp发布了新的文献求助10
21秒前
高分求助中
Continuum thermodynamics and material modelling 3000
Production Logging: Theoretical and Interpretive Elements 2500
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Theory of Block Polymer Self-Assembly 750
지식생태학: 생태학, 죽은 지식을 깨우다 700
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3482810
求助须知:如何正确求助?哪些是违规求助? 3072319
关于积分的说明 9126371
捐赠科研通 2764054
什么是DOI,文献DOI怎么找? 1516797
邀请新用户注册赠送积分活动 701797
科研通“疑难数据库(出版商)”最低求助积分说明 700690