A method for the automated positioning and alignment of fibre-reinforced plastic structures based on machine vision

Schmitt, Robert; Pfeifer, Tilo; Mersmann, C.; Orth, A.

doi:10.1016/j.cirp.2008.03.128

Cited by 19 publications

(4 citation statements)

References 1 publication

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“…As most automobile parts are molded by the punch forming method, featured points on the parts have great consistency and small dimensional deviations. We could develop a low-cost and high-adaptability 6D pose (3-DOF of translations and 3-DOF of angles) estimation method by combining the geometric information of parts and visual measurement technology [ 23 , 24 ].…”

Section: Introductionmentioning

confidence: 99%

Monocular-Based 6-Degree of Freedom Pose Estimation Technology for Robotic Intelligent Grasping Systems

Liu

Guo

Yang

et al. 2017

Sensors

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Industrial robots are expected to undertake ever more advanced tasks in the modern manufacturing industry, such as intelligent grasping, in which robots should be capable of recognizing the position and orientation of a part before grasping it. In this paper, a monocular-based 6-degree of freedom (DOF) pose estimation technology to enable robots to grasp large-size parts at informal poses is proposed. A camera was mounted on the robot end-flange and oriented to measure several featured points on the part before the robot moved to grasp it. In order to estimate the part pose, a nonlinear optimization model based on the camera object space collinearity error in different poses is established, and the initial iteration value is estimated with the differential transformation. Measuring poses of the camera are optimized based on uncertainty analysis. Also, the principle of the robotic intelligent grasping system was developed, with which the robot could adjust its pose to grasp the part. In experimental tests, the part poses estimated with the method described in this paper were compared with those produced by a laser tracker, and results show the RMS angle and position error are about 0.0228° and 0.4603 mm. Robotic intelligent grasping tests were also successfully performed in the experiments.

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Section: Introductionmentioning

confidence: 99%

Monocular-Based 6-Degree of Freedom Pose Estimation Technology for Robotic Intelligent Grasping Systems

Liu

Guo

Yang

et al. 2017

Sensors

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show abstract

“…A great deal of industrial activities have benefited from the application of machine vision technology on manufacturing processes. These activities include surface defect inspection [2,3], dimensional measurement [4,5], structural orientation [6,7] and operational navigation [8,9] etc. Screw thread pieces are widely used in industrial production.…”

Section: Introductionmentioning

confidence: 99%

Study on the Inspection Method of Gas Valve’s External Taper Screw Thread Based on Image Domain

Zhang

Chen

2011

AMR

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The failure of the gas valve’s external screw taper thread is a very serious problem which may result in accidents. Routine inspection on the threads is thus necessary. The efficiency of traditional manual testing methods can not meet the production requirements. An automatic visual inspection system for gas valve’s external screw taper thread is presented in the paper. The system consists of a high-performance 200 mega pixels CCD camera, a LED backlight and a holder of gas valve. Through image acquisition, image processing, edge detection and feature dimension measurement, the system can effectively measure the parameters of taper thread such as half of thread angle, depth of thread, taper angle of thread on image domain. Due to the lead angle and installation error, actual half of thread angle is different from the theoretical values. Three methods are presented in the paper for the half of thread angle. Through analysis, Method 3 and Method 2 can be used to measure half of thread angle. The system can meet the testing requirements of the external screw taper thread and has wide application perspective.

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“…A great deal of industrial activities have benefited from the application of machine vision technology on manufacturing processes. These activities include surface defect inspection [2][3], dimensional measurement [4][5], structural orientation [6][7] and operational navigation [8][9], ect. Screw thread pieces are widely used in industrial production.…”

Section: Introductionmentioning

confidence: 99%

Automatic Visual Inspection System of Gas Valve’s External Taper Thread Based on Image Domain

Zhang

et al. 2010

AMM

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The failure of the gas valve’s external screw taper thread is a very serious problem which may result in accidents. Routine inspection on the threads are thus necessary. The efficiency of traditional manual testing methods can not meet the production requirements. An automatic visual inspection system for gas valve’s exteranl screw taper thread was presented in the paper. The system consists of a high-performance 200 megapixels CCD camera, a LED backlight and a holder of gas valve. Through image acquisition, image processing, edge detection and feature dimension measurement, the system can effectively measure the parameters of taper thread such as angle of thread, depth of thread, taper angle of thread on image domain. It can meet the testing requirements of the external screw taper thread and has wide application perspective.

show abstract

A method for the automated positioning and alignment of fibre-reinforced plastic structures based on machine vision

Cited by 19 publications

References 1 publication

Monocular-Based 6-Degree of Freedom Pose Estimation Technology for Robotic Intelligent Grasping Systems

Monocular-Based 6-Degree of Freedom Pose Estimation Technology for Robotic Intelligent Grasping Systems

Study on the Inspection Method of Gas Valve’s External Taper Screw Thread Based on Image Domain

Automatic Visual Inspection System of Gas Valve’s External Taper Thread Based on Image Domain

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