Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai, P.R. China.
Department of Automation, Shanghai Jiao Tong University, Shanghai, P.R. China.
Soft Robot. 2020 Aug;7(4):421-443. doi: 10.1089/soro.2019.0051. Epub 2020 Feb 20.
The development of miniaturized continuum robots has a wide range of applications in minimally invasive endoluminal interventions. To navigate inside tortuous lumens without impinging on the vessel wall and causing tissue damage or the risk of perforation, it is necessary to have simultaneous shape sensing of the continuum robot and its tip contact force sensing with the surrounding environment. Miniaturization and size constraint of the device have precluded the use of conventional sensing hardware and embodiment schemes. In this study, we propose the use of optical fibers for both actuation and tension/shape/force sensing. It uses a model-based method with structural compensation, allowing direct measurement of the cable tension near the base of the manipulator without increasing the dimensions. It further structurally filters out disturbances from the flexible shaft. In addition, a model is built by considering segment differences, cable interactions/cross talks, and external forces. The proposed model-based method can simultaneously estimate the shape of the manipulator and external force applied onto the robot tip. Detailed modeling and validation results demonstrate the accuracy and reliability of the proposed method for the miniaturized continuum robot for endoluminal intervention.
微型连续体机器人的发展在微创腔内介入中有着广泛的应用。为了在不撞击血管壁并造成组织损伤或穿孔风险的情况下在曲折的管腔内部导航,有必要对连续体机器人及其尖端接触力与周围环境进行同时的形状感知。设备的微型化和尺寸限制排除了使用传统的传感硬件和实施方案。在这项研究中,我们提出使用光纤进行驱动和张力/形状/力感测。它使用具有结构补偿的基于模型的方法,可以直接测量操纵器基座附近的电缆张力,而不会增加尺寸。它进一步从柔性轴结构上过滤掉干扰。此外,通过考虑段差、电缆相互作用/串扰和外力来建立模型。所提出的基于模型的方法可以同时估计机器人的形状和施加在机器人末端的外力。详细的建模和验证结果表明,所提出的方法对于用于腔内介入的微型连续体机器人具有准确性和可靠性。