Recently, industrial robots plays a significant role in intelligent manufacturing. Hence, it is an urgent issue to ensure the robot with the high positioning precision. To address this hot issue, a novel calibration method based on an powerful ensemble with various algorithms is proposed. This paper has two ideas: a) developing eight calibration methods to identify the kinematic parameter errors; 2) establishing an effective ensemble to search calibrated kinematic parameters. Enough experimental results show that this ensemble can achieve: 1) higher calibration accuracy for the robot; 2) model diversity; 3) strong generalization ability.

中文翻译：

---

用于机械臂校准的具有多样化算法的先进集成

近年来，工业机器人在智能制造中发挥着重要作用。因此，保证机器人具有较高的定位精度是当务之急。为了解决这个热点问题，提出了一种基于各种算法的强大集成的新型校准方法。本文有两个想法：a）开发八种校准方法来识别运动学参数误差；2) 建立一个有效的集合来搜索校准的运动学参数。足够的实验结果表明，该集成可以实现：1）更高的机器人校准精度；2) 模型多样性；3) 泛化能力强。