校准
职位(财务)
机器人
刚度
集合(抽象数据类型)
计算机科学
度量(数据仓库)
控制理论(社会学)
鉴定(生物学)
控制工程
串联机械手
工业机器人
机器人末端执行器
工程类
人工智能
并联机械手
数学
数据挖掘
结构工程
控制(管理)
统计
经济
程序设计语言
植物
财务
生物
作者
Alexandr Klimchik,Alexandr Klimchik,Stéphane Caro,Florent Laroche
标识
DOI:10.1109/aim.2017.8014031
摘要
The paper is devoted to the stiffness modeling of heavy industrial robots with pneumatic gravity compensators. The main attention is paid to the identification of elastostatic parameters and calibration accuracy. To identify the desired set of parameters two-step identification procedure is developed. To reduce impact of the measurement errors, the set of manipulator configurations for calibration experiments is optimized with respect to the proposed performance measure related to the end-effector position accuracy. Advantages of the developed technique are illustrated by dedicated experimental study.
科研通智能强力驱动
Strongly Powered by AbleSci AI