ProceedingsIEEE Computer Society Press - Computer integrated manufacturing systems |
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Page 106
The following learning process, therefore, amends the parameters. In the
learning process, an arbitrary target position in the image space is given to the
visuo-motor system. The self-organizing map determines the joint angles Bout
from the ...
The following learning process, therefore, amends the parameters. In the
learning process, an arbitrary target position in the image space is given to the
visuo-motor system. The self-organizing map determines the joint angles Bout
from the ...
Page 149
This includes such information as "the hallway follows the entrance," "there is a
doorway on the left-hand wall," and so on. We assume that this information can
be parametrized to determine the shape of the environment. Such parameters
are ...
This includes such information as "the hallway follows the entrance," "there is a
doorway on the left-hand wall," and so on. We assume that this information can
be parametrized to determine the shape of the environment. Such parameters
are ...
Page 157
Parameters Values of Simulator In order to work the production line simulator
including GA system, we must decide the parameters values mentioned in STEP]
and 2 of Section 2. The parameters are two kinds, basic parameters P and the ...
Parameters Values of Simulator In order to work the production line simulator
including GA system, we must decide the parameters values mentioned in STEP]
and 2 of Section 2. The parameters are two kinds, basic parameters P and the ...
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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 |