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Model-Based Error Correction for Flexible Robotic Surgical Instruments 基于模型的柔性机器人手术器械误差校正
Pub Date : 2005-06-08 DOI: 10.15607/RSS.2005.I.047
Ryan A. Beasley, R. Howe
Robots promise to enhance minimally-invasive surgery, but flexion of the thin instrument shaft introduces error into models of the robot kinematics. Visual or electromagnetic tracking of the instrument tip provides correct forward kinematics, but uncertainty in shaft bending and port location leaves residual errors in inverse kinematics. These errors can cause incorrect motions that preclude the use of image-guidance tools. This paper proposes a model-based controller to correct the commanded motions. Comparison with a controller assuming a straight instrument shaft quantifies motion errors resulting from the use of a straight shaft controller. Analysis of the flexed shaft controller shows sensitivity to shaft length, shaft stiffness, tip force, and sensor noise.
机器人有望提高微创手术,但细长的仪器轴的弯曲会给机器人运动学模型带来误差。仪表尖端的视觉或电磁跟踪提供了正确的正运动学,但轴弯曲和端口位置的不确定性在逆运动学中留下了残余误差。这些误差会导致不正确的运动,从而妨碍图像引导工具的使用。本文提出了一种基于模型的控制器来校正指令运动。与假设仪表轴为直轴的控制器的比较可以量化由于使用直轴控制器而产生的运动误差。柔性轴控制器的分析显示了对轴长、轴刚度、尖端力和传感器噪声的敏感性。
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引用次数: 14
Roadmap Based Pursuit-Evasion and Collision Avoidance 基于路线图的追逃与避碰
Pub Date : 2005-06-08 DOI: 10.15607/RSS.2005.I.034
Volkan Isler, Dengfeng Sun, S. Sastry
We study pursuit-evasion games for mobile robots and their applications to collision avoidance. In the first part of the paper, under the assumption that the pursuer and the evader (possibly subject to physical constraints) share the same roadmap to plan their strategies, we present sound and complete strategies for three different games. In the second part, we utilize the pursuit-evasion results to post-process the workspace and/or configuration space and obtain a collision probability map of the environment. Next, we present a probabilistic method to utilize this map and plan trajectories which minimize the collision probability for independent robots.
研究了移动机器人的追逐-逃避博弈及其在避碰中的应用。在本文的第一部分中,假设追逐者和逃避者(可能受到物理约束)共享相同的路线图来规划他们的策略,我们为三种不同的游戏提供了健全和完整的策略。在第二部分中,我们利用追捕-逃避结果对工作空间和/或配置空间进行后处理,并获得环境的碰撞概率图。接下来,我们提出了一种概率方法来利用该地图和规划轨迹,使独立机器人的碰撞概率最小化。
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引用次数: 49
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Robotics science and systems : online proceedings
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