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Precise Motion Control of Concentric-Tube Robot Based on Visual Servoing

机译:基于视觉伺服的同心管机器人精确运动控制

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Composed of multi-section precurved tubes, continuous concentric-tube robot(CTR) has the potential of reaching surgical target during minimally invasive surgeries. Since concentric tubes are made of super-elastic nickel-titanium alloy, they can present different shapes when they extend and rotate with respect to each other. Compared to traditional surgical robots, CTR is superior in small size and flexible bending so that it can work in tiny space and adapt well to non-structural environment with multiple obstacles. In this paper, we proposed a CTR with 38cm in length and 1.85kg in weight which is assembled on a two-freedom platform to enable surgeons to perform various surgeries. Structure design of CTR and an image-guided algorithm are described in detail. For the propose of controlling robot to reach the target more precisely, a single camera is mounted at the tip of concentric tubes which can estimate the mapping between image plane and robotic joint space. This paper presents a model-less method based on Kalman filter to online estimate image Jacobian matrix, therefore robot is capable of capturing the target accurately accompanied by position changes on image plane. Experimental demonstration is also presented in this paper to verify the proposed method.
机译:由多段先前管组成,连续同心管机器人(CTR)具有在微创手术期间到达手术目标的可能性。由于同心管由超弹性镍钛合金制成,因此当它们相对于彼此延伸并旋转时,它们可以存在不同的形状。与传统的外科机器人相比,CTR的小尺寸和弯曲柔韧性较好,因此它可以在微小的空间工作并适应具有多种障碍物的非结构环境。在本文中,我们提出了一个长度为38厘米的CTR,重量1.85kg,在两自由平台上组装,以使外科医生能够执行各种手术。详细描述了CTR的结构设计和图像引导算法。对于控制机器人更精确地到达目标,将单个相机安装在同心管的尖端,该尖端可以估计图像平面和机器人关节空间之间的映射。本文提出了一种基于Kalman滤波器到在线估计图像Jacobian矩阵的模型方法,因此机器人能够精确地伴随着图像平面上的位置改变的目标。本文还提出了实验演示,以验证提出的方法。

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