Robot-mounted sensing and local calibration for high-accuracy manufacturing

机器人 校准 计算机视觉 人工智能 计算机科学 遥感 地理 数学 统计
作者
Mohammadreza Dehghani,Ryan A. McKenzie,Rishad A. Irani,Mojtaba Ahmadi
出处
期刊:Robotics and Computer-integrated Manufacturing [Elsevier]
卷期号:79: 102429-102429 被引量:11
标识
DOI:10.1016/j.rcim.2022.102429
摘要

Positional accuracy is critically important for application of industrial robots in fixtureless precision manufacturing; thus, this paper presents a method for simultaneously calibrating the kinematic parameters of robot and robot-mounted measurement devices. In the modeling step, the Modified Denavit–Hartenberg parameters are extended to include the world and tool frames within a minimal parameter set using a systematic approach. Closed-loop calibration is performed using the data collected in the local target workspace using the robot-mounted measurement device. The presented modeling and calibration methods are applied to a case study in which a machining task is performed using a DENSO VS-6556 W industrial robot equipped with a cutting tool, force sensor, and laser profile scanner. In the case study, local models are calibrated for the laser and tool frames using common 1-2-3 blocks as calibration artifacts. The robot/laser model is identified by scanning the artifacts with a robot-mounted laser scanner, and the robot/tool model is calibrated by touching the artifacts with a robot-mounted force sensor. In this application, the robot/laser model is used to scan and register a sheet metal workpiece, and the robot/tool model is used to plan a tool path to machine the periphery. Positional accuracy of the tool path was evaluated to be ±0.15 mm within the target workspace, which shows significant improvement compared with the mean error of 0.8 mm achieved by global calibration of the robot/tool model.

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