DocumentCode
2044149
Title
Automatic path planning for 3-D assembly system using configuration space and CAD model
Author
Saksena, Abhilasha ; Nammoto, Takashi ; Jun Kinugawa ; Kosuge, Kazuhiro
Author_Institution
Dept. of Bioeng. & Robot., Tohoku Univ., Sendai, Japan
fYear
2015
fDate
2-5 Aug. 2015
Firstpage
1355
Lastpage
1361
Abstract
This paper proposes a new method for the motion planning for the assembly of components, using configuration space information, mobility potential and the components´ CAD models. The proposed method plans a path and automatically sets the velocity and the acceleration for the assembly task. Automatic selection of velocity and acceleration, for the intermediate via points of the assembly path, generates a smooth trajectory and hence the system becomes continuous and faster. It also automatically adjusts the velocity for the assembly such that, the velocity is reduced as the assembly progresses. The path is planned in the reverse direction, i.e. from the assembled state to the disassembled state, using the potential variation method. The paper details the approach to determine the potential, path planning from assembled to the disassembled state, and automatic selection of the velocity and the acceleration for assembly, to generate a continuous trajectory. The concept is verified for the assembly of a rectangular peg and a rectangular hole.
Keywords
CAD; industrial manipulators; mobile robots; path planning; production engineering computing; robotic assembly; 3D assembly system; CAD model; automatic acceleration selection; automatic path planning; automatic velocity selection; component assembling; configuration space information; continuous trajectory; manipulator; mobility potential; motion planning; potential variation method; rectangular hole; rectangular peg; Acceleration; Assembly; Manipulators; Solid modeling; Trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Mechatronics and Automation (ICMA), 2015 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4799-7097-1
Type
conf
DOI
10.1109/ICMA.2015.7237682
Filename
7237682
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