需要翻译的内容是：在文章《ABC》中，作者柏永华提出了一种新的机器人运动学参数标定方法，旨在提高机器人的定位精度。作者提出了一种改进的蝠鲼觅食优化算法来辨识机器人运动学参数的误差，并提出了一种使用3D扫描仪测量机器人末端位置的低成本的测量方法。作者认为机器人的定位精度对机器人的应用有很大的影响。在不改变机器人结构的情况下，通过修改机器人运动学模型来提高定位精度。作者概述了机器人误差的来源和现有的标定方法及其局限性。现有的测量方法成本高，且需要大量的专业知识；辨识算法的收敛速度慢且精度较低...-DPDK中文网

In the article “ABC”, author Baoyonghua proposed a new method for calibrating kinematic parameters of robots, aiming to improve the positioning accuracy of robots. The author proposed an improved bat algorithm to identify errors in robot kinematic parameters and presented a low-cost measurement method that uses a 3D scanner to measure the end position of the robot.

The author believed that the positioning accuracy of robots has a great impact on their applications. By modifying the kinematic model of robots without changing their structure, the positioning accuracy can be improved. The author outlined the sources of robot errors, existing calibration methods, and their limitations. Existing measurement methods are costly and require a lot of specialized knowledge; identification algorithms have slow convergence speeds and low accuracy.

To ensure the completeness, continuity, and minimality of the robot position error model, the author analyzed its redundancy and removed redundant parameters from it.

To address deficiencies in existing identification algorithms, the author proposed an improved bat algorithm to identify errors in kinematic parameters. The author provided a detailed introduction to this algorithm’s mathematical model and improvements. Natural selection was used as a strategy to increase convergence speed, while adaptive parameter control was employed to coordinate global search and local search.