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A robust and singular-free analytical solution for the hand-eye calibration of a novel surgical robot

机译:用于新型外科手术机器人手眼校准的强大且无奇异的分析解决方案

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For the hand-eye calibration of the robot-assisted minimally invasive surgery with an endoscopic camera, the closed-form solutions should be considered primarily by taking the time occupancy and security of the surgery into account. Although all the existing analytical solutions are widely used, at least one of them (i.e., the analytical solution based on Lie Group theory) may be singular. According to the polar decomposition of a matrix, the singularity of the Lie Group-based solution is firstly pointed out. For avoiding the above singularity, a singular-free analytical solution based on singular value decomposition is put forward. In addition, simulation and real-data experiments are conducted for the proposed and another two classical solutions of the hand-eye calibration, which can demonstrate the feasibility and accuracy of the proposed closed-form solution.
机译:对于使用内窥镜相机对机器人辅助微创手术进行手眼校准,应首先考虑手术的时间占用和安全性来考虑封闭式解决方案。尽管所有现有的分析解决方案都得到了广泛使用,但其中至少有一个(即基于李群理论的分析解决方案)可能是单个的。根据矩阵的极性分解,首先指出了基于李群的解的奇异性。为了避免上述奇异性,提出了基于奇异值分解的无奇异解析解。此外,针对拟议的手眼校准方案和另外两个经典解决方案进行了仿真和真实数据实验,可以证明所提出的闭合形式方案的可行性和准确性。

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