没错，网络也带来一些积极的补偿：更好的手眼协调，模式识别能力，以及机器所需的多任务处理技术。
True, there are compensations: better hand-eye co-ordination, pattern recognition and the very multitasking skills the machines themselves require.
针对目前机器人手眼标定的方法大多需要求解手眼标定的基本方程，提出了一种新的用于机器人手眼标定中初值估计的方法。
Considering that in most hand-eye calibration methods, the basic equation needs to be solved, a new initial estimates method for robotic hand-eye calibration was proposed.
这一方法简化了机器人手眼系统标定过程，提高了定位精度，同时推广了手眼视觉系统的应用范围。
This method simplifies the complicated process of robot hand-eye system calibration and improves the positioning precision, meanwhile, it extends the application range of hand-eye vision system.
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