基于卡尔曼滤波的阻抗型手术机器人驱动机构的外力估计

Hongbing Li, Kundong Wang, Zheng Li, K. Kawashima, E. Magid
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引用次数: 3

摘要

触觉反馈在手术机器人系统中的重要性已被证明,但目前市面上的微创手术机器人系统中缺少这种功能。为了解决这个问题,许多手术钳已经被设计和开发,以在手术操作期间为外科医生提供接触力的感觉。然而,据资料显示,由于这种物理感应装置的缺点,目前还没有商用的具有触觉感知的手术钳。无论采用何种传感算法,力传感器都存在物理约束。研究了卡尔曼滤波在机器人与外界环境接触时控制手柄力的概念和应用。采用参数估计技术对机器人作动器进行系统外接触力估计。对该方法进行了描述,并对一个单自由度机器人进行了有效性验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
External Force Estimation of Impedance-Type Driven Mechanism for Surgical Robot with Kalman Filter
Haptic feedback has been proved the importance in the surgical robot system, however, such function is missing in current commercially available minimally invasive surgical robot system. To address this issue, many surgical forceps have been designed and developed to provide the sense of contact forces to the surgeon during surgical manipulation. However, to data, there are no commercially available surgical forceps with haptic perception because of the disadvantages of such physical-sensing devices. No matter what sensing algorithm it utilized, there are always physical constraints related to the force sensors. This study presents concepts and application of a Kalman filter for the control of robot handle force during contact with the external environment. The external contact force in the system was estimated by parameter estimation techniques to the robot actuators. The method is described and its effectiveness is shown for a one degree-of-freedom robot.
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