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Page 117
Kl"{X.;y.;*.) Figure 3: Pose specification, measured six points To calculate the
difference between the real object's reference pose Poo.ro and the simulation
object's reference pose Poo.so. the displacement AP0 and the three fixed-angles
a, p, ...
Kl"{X.;y.;*.) Figure 3: Pose specification, measured six points To calculate the
difference between the real object's reference pose Poo.ro and the simulation
object's reference pose Poo.so. the displacement AP0 and the three fixed-angles
a, p, ...
Page 119
3.2 Edge intersection The position of the object's origin, represented by P_o, can
be calculated by measuring four edge points 'Po, 2P_o, 3Eo» *Eo. as shown in
Figure 9. The four points describe two vector lines (cf. (16), (17)). In the case of ...
3.2 Edge intersection The position of the object's origin, represented by P_o, can
be calculated by measuring four edge points 'Po, 2P_o, 3Eo» *Eo. as shown in
Figure 9. The four points describe two vector lines (cf. (16), (17)). In the case of ...
Page 439
To obtain the desired rotation in cit we calculate the Spline based on its four
variables. These variables determined by the two contact points and the tangents
at the two contact points. The tangents T\ and T2 are selected according to the ...
To obtain the desired rotation in cit we calculate the Spline based on its four
variables. These variables determined by the two contact points and the tangents
at the two contact points. The tangents T\ and T2 are selected according to 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 |