2022
DOI: 10.1155/2022/5458703
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Optimization of Sorting Robot Control System Based on Deep Learning and Machine Vision

Abstract: To enhance the control technology of coal gangue dry separation method which is replaced by the machine in coal washing plant and to explore the control effects of traditional PID and dynamic domain fuzzy self-tuning PID, which will aid in determining the ideal position and orientation for grasping an object as well as understanding physical and logistic data patterns, an optimal design of PID controller for sorting robot based on deep learning is initiated. The mathematical model of ball screw system driven b… Show more

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Cited by 9 publications
(8 citation statements)
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“…Therefore, the motion model can be used to generate candidates around the location of the object in a frame. At present, there are mainly two ways to generate candidate frames: particle filter and sliding window particle filter, which use the predicted position of the above frame as the center to transform the radiation parameters of six candidate frames, so as to obtain a series of candidate samples [8]. The six parameters include horizontal displacement, vertical displacement, rotation angle, aspect ratio, stretch ratio, and dimension particle filter.…”
Section: Literature Reviewmentioning
confidence: 99%
“…Therefore, the motion model can be used to generate candidates around the location of the object in a frame. At present, there are mainly two ways to generate candidate frames: particle filter and sliding window particle filter, which use the predicted position of the above frame as the center to transform the radiation parameters of six candidate frames, so as to obtain a series of candidate samples [8]. The six parameters include horizontal displacement, vertical displacement, rotation angle, aspect ratio, stretch ratio, and dimension particle filter.…”
Section: Literature Reviewmentioning
confidence: 99%
“…During the test, the transverse motion range of the reciprocating device is concentrated near the center of the carbon sliding plate [25]. In order to better compare the test results with other methods, select the test results of a certain test under the condition of static debugging, use the monocular CCD camera [26][27][28][29] to detect the pull-out value, and analyze the accuracy of the machine vision system [30][31][32][33] by comparing the relative errors between them. e comparison results are shown in Table 2.…”
Section: Analysis Of Pull-out Value Test Resultsmentioning
confidence: 99%
“…Detect recyclables 3. Generate a three-dimensional circumferential map of robot positioning, navigation, and path planning The applicability of recycling robots has been expanded, and the robustness has been improved Feng et al ( 2022 ); Wang et al ( 2020 ) Deep learning simultaneous localization and mapping Map reconstruction, navigation, repositioning, waste detection, and sequencing The error difference is small Bobulski and Kubanek ( 2021b ); Chang et al ( 2020 ); Chen et al ( 2022b ); Zhou et al ( 2021 ) Computer vision Hyperspectral image 1. Adjust the gripper 2.…”
Section: Artificial Intelligence In Waste Managementmentioning
confidence: 99%