Matches in SemOpenAlex for { <https://semopenalex.org/work/W3197309189> ?p ?o ?g. }
Showing items 1 to 91 of
91
with 100 items per page.
- W3197309189 abstract "Using robots to replace manual production has been seen as a feasible solution to reduce production costs and increase productivity, especially in the 3C (Computer, Communication, and Consumer Electronics) products assembly lines, which rely heavily on labor. Due to the characteristic of small size and accurate fitting precision, small uncertainties in the assembly process will lead to the failure of the assembly, especially in the process of grasping, when the gripper needs to move to a certain position. So, to realize the 3C products flexible assembly of the robot, machine vision is required to provide the high-precision pose information of the object. So far, point cloud based 6D (6-dimensional) pose estimation algorithms have attracted the attention of many researchers because point cloud can provide three-dimensional information directly. However, the disorder of the point cloud and the background information with miscellaneous noise makes it impossible to directly estimate the pose of the target object with high precision. To deal with this problem, we propose a 2D-3D combined high-precision pose estimation method. The whole method is divided into two stages. In the first stage, the mask of the object in the 2D image is identified through the Mask R-CNN which is trained through fine-turning. In the second stage, we use a structured light camera to generate the point cloud and map the mask to it to extract useful point cloud, then the high-precision pose estimating algorithm composed by PCA-ICP is used to get the global pose of the part. Finally, the pose is converted to the robot coordinate frame by the result of hand-eye calibration. The proposed method is verified by the grasping and assembly experiments." @default.
- W3197309189 created "2021-09-13" @default.
- W3197309189 creator A5009318195 @default.
- W3197309189 creator A5027642817 @default.
- W3197309189 creator A5039813424 @default.
- W3197309189 creator A5087749601 @default.
- W3197309189 creator A5090363873 @default.
- W3197309189 date "2021-07-15" @default.
- W3197309189 modified "2023-09-25" @default.
- W3197309189 title "High-Precision Pose Estimation Method of the 3C Parts by Combining 2D and 3D Vision for Robotic Grasping in Assembly Applications" @default.
- W3197309189 cites W1955471442 @default.
- W3197309189 cites W1993930080 @default.
- W3197309189 cites W2083624955 @default.
- W3197309189 cites W2765362453 @default.
- W3197309189 cites W2782072246 @default.
- W3197309189 cites W2963150697 @default.
- W3197309189 cites W2996084504 @default.
- W3197309189 cites W3001359180 @default.
- W3197309189 cites W3003184678 @default.
- W3197309189 cites W3003339604 @default.
- W3197309189 cites W3003796083 @default.
- W3197309189 cites W3013243617 @default.
- W3197309189 doi "https://doi.org/10.1109/rcar52367.2021.9517329" @default.
- W3197309189 hasPublicationYear "2021" @default.
- W3197309189 type Work @default.
- W3197309189 sameAs 3197309189 @default.
- W3197309189 citedByCount "1" @default.
- W3197309189 countsByYear W31973091892022 @default.
- W3197309189 crossrefType "proceedings-article" @default.
- W3197309189 hasAuthorship W3197309189A5009318195 @default.
- W3197309189 hasAuthorship W3197309189A5027642817 @default.
- W3197309189 hasAuthorship W3197309189A5039813424 @default.
- W3197309189 hasAuthorship W3197309189A5087749601 @default.
- W3197309189 hasAuthorship W3197309189A5090363873 @default.
- W3197309189 hasConcept C10138342 @default.
- W3197309189 hasConcept C111919701 @default.
- W3197309189 hasConcept C115961682 @default.
- W3197309189 hasConcept C131979681 @default.
- W3197309189 hasConcept C154945302 @default.
- W3197309189 hasConcept C162324750 @default.
- W3197309189 hasConcept C198082294 @default.
- W3197309189 hasConcept C2524010 @default.
- W3197309189 hasConcept C2781238097 @default.
- W3197309189 hasConcept C28719098 @default.
- W3197309189 hasConcept C31972630 @default.
- W3197309189 hasConcept C33923547 @default.
- W3197309189 hasConcept C36613465 @default.
- W3197309189 hasConcept C41008148 @default.
- W3197309189 hasConcept C52102323 @default.
- W3197309189 hasConcept C5339829 @default.
- W3197309189 hasConcept C79974875 @default.
- W3197309189 hasConcept C90509273 @default.
- W3197309189 hasConcept C98045186 @default.
- W3197309189 hasConcept C99498987 @default.
- W3197309189 hasConceptScore W3197309189C10138342 @default.
- W3197309189 hasConceptScore W3197309189C111919701 @default.
- W3197309189 hasConceptScore W3197309189C115961682 @default.
- W3197309189 hasConceptScore W3197309189C131979681 @default.
- W3197309189 hasConceptScore W3197309189C154945302 @default.
- W3197309189 hasConceptScore W3197309189C162324750 @default.
- W3197309189 hasConceptScore W3197309189C198082294 @default.
- W3197309189 hasConceptScore W3197309189C2524010 @default.
- W3197309189 hasConceptScore W3197309189C2781238097 @default.
- W3197309189 hasConceptScore W3197309189C28719098 @default.
- W3197309189 hasConceptScore W3197309189C31972630 @default.
- W3197309189 hasConceptScore W3197309189C33923547 @default.
- W3197309189 hasConceptScore W3197309189C36613465 @default.
- W3197309189 hasConceptScore W3197309189C41008148 @default.
- W3197309189 hasConceptScore W3197309189C52102323 @default.
- W3197309189 hasConceptScore W3197309189C5339829 @default.
- W3197309189 hasConceptScore W3197309189C79974875 @default.
- W3197309189 hasConceptScore W3197309189C90509273 @default.
- W3197309189 hasConceptScore W3197309189C98045186 @default.
- W3197309189 hasConceptScore W3197309189C99498987 @default.
- W3197309189 hasLocation W31973091891 @default.
- W3197309189 hasOpenAccess W3197309189 @default.
- W3197309189 hasPrimaryLocation W31973091891 @default.
- W3197309189 hasRelatedWork W2026349903 @default.
- W3197309189 hasRelatedWork W2064877078 @default.
- W3197309189 hasRelatedWork W2556085923 @default.
- W3197309189 hasRelatedWork W2901776837 @default.
- W3197309189 hasRelatedWork W3025966514 @default.
- W3197309189 hasRelatedWork W3107785885 @default.
- W3197309189 hasRelatedWork W3108980762 @default.
- W3197309189 hasRelatedWork W3204162010 @default.
- W3197309189 hasRelatedWork W4290774832 @default.
- W3197309189 hasRelatedWork W4306804934 @default.
- W3197309189 isParatext "false" @default.
- W3197309189 isRetracted "false" @default.
- W3197309189 magId "3197309189" @default.
- W3197309189 workType "article" @default.