具有速度约束的微创手术机械臂奇异性分析

Cong Dung Pham, P. From
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引用次数: 1

摘要

本文提出了一种新的分析约束串联机械臂机动性的框架。我们专注于微创手术中出现的限制类型,在微创手术中,通过切口点或套管针将长轴插入人体。在这种情况下,套管针约束将改变机械手的机动性以及奇点的位置和性质。对于微创手术,需要了解系统的移动性和奇异性,以获得安全可靠的操作。链上的速度约束通常会使机械臂的机动性分析复杂化,因为传统的方法如可操纵性和其他需要机械臂雅可比矩阵的方法由于没有考虑这些约束而无法应用。本文的主要贡献是通过将约束处的速度和约束后关节(通常称为腕部)的速度相加,并观察到这些速度需要跨越整个末端执行器速度空间,从而求出末端执行器的速度。然后,我们使用这种新的末端执行器速度表示来找到受限机械臂的机动性。该框架既可用于在存在链约束的情况下确定机械手的最佳几何形状,又可在选择了机械手的几何形状后对机器人进行控制,使其保持较高的机动性并避免奇异性。例如,该框架的第一个特性可用于寻找受切口点约束的手术机器人手腕的最佳几何形状,而后者可用于控制机器人以避免奇点。奇点的典型形式与无约束情况非常不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Singularity analysis of robotic manipulators with velocity-constraints for minimally invasive surgery
This paper presents a novel framework for analyzing the mobility of constrained serial manipulators. We focus on the type of constraints that arise in minimally invasive surgery, where a long shaft is inserted into the human body through a incision point, or trocar. The trocar constraint will in this case change the mobility of the manipulator and the location and nature of the singularities. For minimally invasive surgery both the mobility and the singularities of the system need to be known to obtain safe and reliable operation. Velocity constraints on the chain will in general complicate the mobility analysis of the manipulator as conventional methods such as manipulability and other methods that require the manipulator Jacobian cannot be applied because these methods do not take the constraints into account. The main contribution of the paper is to find the end-effector velocity by adding the velocity at the constraint and the velocity of the joints after the constraint (often called the wrist) and observing that these velocities need to span the whole end-effector velocity space. We then use this new representation of the end-effector velocity to find the mobility of the constrained manipulators. The framework can be used both to determine the optimal manipulator geometry in the presence of chain constraints and, once the manipulator geometry is chosen, to control the robot such that the mobility is maintained high and singularities avoided. The first property of the presented framework can for example be used to find the optimal geometry of the wrist of a surgical robot subjects to incision point constraints, and the latter can be used to control the robot so that singularities are avoided. The singularities typically take a very different form than for the unconstrained case.
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