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MANIPULATION

On-Line Precision Calibration of Mobile Manipulators Based on the Multi-Level Measurement Strategy

Sheng Jian, Xiansheng Yang, Xianwei Yuan, Yunjiang Lou, Yao Jiang, Genliang Chen, Guoyuan Liang

发表年份
2021
引用次数
8
访问权限
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摘要

Autonomous industrial mobile manipulator (AIMM), which is composed of a mobile platform and a robot arm of six degrees of freedom (DoFs), can move autonomously and perform dexterous tasks independently in the industrial environment. A novel on-line calibration system for AIMM in real manufacturing workshop is proposed in this paper. Compared to calibration scenarios of fixed-base robot, we focus on the large-space autonomous calibration for AIMM. To cope with the issue of high precision calibration in large space, we propose a multi-level guided-based measurement strategy, which includes the low-cost vision positioning and guidance system, and the high-precision distributed base station (BS) measurement system. The corresponding experiment proves that the total uncertainty of measurement system is less than 0.1 mm. Based on the measured data of end-effector installed at the end of robot arm, the AIMM can perform on-line calibration tasks anywhere automatically without taking into account the expensive devices for the high-precision location of mobile platform and the downtime for the robotic off-line calibration. The mean positioning error of AIMM after calibration reduces 93% based on the calibration experiment.

关键词

CalibrationComputer scienceLine (geometry)Measurement uncertaintyArtificial intelligenceControl theory (sociology)Computer visionMathematicsControl (management)Statistics

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