2020
DOI: 10.3390/s20082428
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Research on Visualization and Error Compensation of Demolition Robot Attachment Changing

Abstract: Attachment changing in demolition robots has a high docking accuracy requirement, so it is hard for operators to control this process remotely through the perspective of a camera. To solve this problem, this study investigated positioning error and proposed a method of error compensation to achieve a highly precise attachment changing process. This study established a link parameter model for the demolition robot, measured the error in the attachment changing, introduced a reference coordinate system to solve … Show more

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Cited by 4 publications
(1 citation statement)
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References 16 publications
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“…The position and attitude of the attachment also need to be obtained and can be achieved by using visual servo technology [19][20][21][22]. In our previous work, an error compensation method for changing the attachment of demolition robots was proposed, and a visualization system for the remote changing of the demolition robot attachment was developed [23,24]. After the coordinate systems of the robot's quick-hitch equipment and the attachment are obtained accurately, the motion trajectory of the quick-hitch equipment should be analyzed and planned [25] so as to provide the optimal attachment changing solution to the operator.…”
Section: Introductionmentioning
confidence: 99%
“…The position and attitude of the attachment also need to be obtained and can be achieved by using visual servo technology [19][20][21][22]. In our previous work, an error compensation method for changing the attachment of demolition robots was proposed, and a visualization system for the remote changing of the demolition robot attachment was developed [23,24]. After the coordinate systems of the robot's quick-hitch equipment and the attachment are obtained accurately, the motion trajectory of the quick-hitch equipment should be analyzed and planned [25] so as to provide the optimal attachment changing solution to the operator.…”
Section: Introductionmentioning
confidence: 99%