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Page 33
We have defined the difference between a subassembly and a subset, and we
show how to extract a subassembly a priori, a posteriori and appropriate [IS]. The
subassembly characteristics are similar in nature to those of an elementary part ...
We have defined the difference between a subassembly and a subset, and we
show how to extract a subassembly a priori, a posteriori and appropriate [IS]. The
subassembly characteristics are similar in nature to those of an elementary part ...
Page 222
An inventory of the coherent subassemblies is made using the connection
diagram. 4. With the precedence relations an inventory of the detachable
subassemblies is made. 5. The set of feasible subassemblies is the intersection
of the set of ...
An inventory of the coherent subassemblies is made using the connection
diagram. 4. With the precedence relations an inventory of the detachable
subassemblies is made. 5. The set of feasible subassemblies is the intersection
of the set of ...
Page 225
Transitions can take place by detaching of a single part, a subassembly
consisting of 2, 3 parts, etc. However, the child subassemblies should be feasible
. This means that only those feasible subassemblies can be considered that are ...
Transitions can take place by detaching of a single part, a subassembly
consisting of 2, 3 parts, etc. However, the child subassemblies should be feasible
. This means that only those feasible subassemblies can be considered that are ...
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Contents
Monday May 282001 | 1 |
Session M1B Assembly Planning Room | 31 |
Session MIC Production Systeml RoomC | 61 |
Copyright | |
15 other sections not shown
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Common terms and phrases
4th IEEE International algorithm analysis applied approach Assembly and Task assembly model assembly planning assembly process assembly sequences assembly system assembly task automatic B-spline Bayesian network calculated camera collision components computed configuration constraints contact point coordinate cost defined deformable described developed disassembly sequences dynamic Engineering environment evaluation feasible Figure finger flexible Fukuoka function genetic algorithm geometric grasp holons IEEE International Symposium information entropy Japan liaison Lie algebra machine manipulation matrix mechanical method mobile robot module motion planning node object obstacles obtained operation optimal parameters path planning Petri nets Planning Soft Research precedence graph problem proposed Radon transform represented Robotics and Automation rotation scheduling Screw Theory selected self-organizing map sensor shown in Fig simulation Soft Research Park solutions specification station step structure subassembly Symposium on Assembly Task Planning Soft tion tool trajectory vector velocity
Bibliographic information
| Title | Proceedings |
| Author | IEEE International Symposium on Assembly and Task Planning |
| Contributors | IEEE Robotics and Automation Society, IEEE Xplore (Online service) |
| Publisher | IEEE Computer Society Press |
| Original from | the University of Michigan |
| Digitized | 11 Jan 2008 |
| Export Citation | BiBTeX EndNote RefMan |