ISRI > Project > Object Categorization and Self Modeling for Intelligent Manufacturing

  

Object Categorization and Self Modeling for Intelligent Manufacturing

Leader: Jaewoong Kim
Contact: Jaewoong Kim (create@skku.edu)


Mailing address:
Intelligent System Research Institute (ISRI)
Research Complex 2, 6th floor, Building C, Natural Sciences Campus, Sungkyunkwan University,
2066, Seobu-ro, Jangan-gu, Suwon-si,
Gyeonggi-do 440-746, South Korea
 
Project Description
 
(Top-Left) GM Motoman Robot with Structural light 3D Sensor
(Top-Right) Household Object Modeling and Kettle Modeling
(Bottom-Left) extraction geometric primitive from Alternator CAD Data, Real alternator data match CAD Model
(Bottom-Right) Alternator modeling and Pose Estimation



• Extracting the shape get the 2D and 3D image using high accuracy structure light 3D sensor..
• for household or industrial objects Approximate sphere, plane, cylinder and corn primitive geometric shape. so this method generate categorized model..
• Object without model information make primitive geometric shape combination. so object generate self modeling. this method applied to pose estimation and object recognition..
• given CAD model information for industrial robot about target object, extract primitive geometric shape. so recognition and modeling information applied that.
 
Personnel
 
 NameTitleEmail Address
 Yenho leePhD Studenttarazed@skku.edu
 Nguyen Huu HungPhD Studenthunghvktqs2003@gmail.com
 Ahmed M. NaguibMaster Degreeahmed.m.naguib@gmail.com
 
Recent publications
 


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300 Cheoncheon-dong, jangan-gu, Suwon, Gyeonggi-do, 440-746, Korea

TEL : +82-31-299-6471 / FAX : +82-31-299-6479 / E-mail : navvis@skku.edu