ProceedingsIEEE Computer Society Press, 2001 - Artificial intelligence |
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Page 115
As seen in Table 2 for the first example , the dynamic limits of the robot can
exceed , when using maximum velocity and acceleration . Therefore it can
happen , that a movement is faster using full speed without rounding than a
movement , that ...
As seen in Table 2 for the first example , the dynamic limits of the robot can
exceed , when using maximum velocity and acceleration . Therefore it can
happen , that a movement is faster using full speed without rounding than a
movement , that ...
Page 266
These views are embedded in our proposed approach embodied into a dynamic
scheduling system structured in three modules , namely pre - processing ,
scheduling and dynamic adaptation modules , Figure 1 . The algorithm described
in ...
These views are embedded in our proposed approach embodied into a dynamic
scheduling system structured in three modules , namely pre - processing ,
scheduling and dynamic adaptation modules , Figure 1 . The algorithm described
in ...
Page 344
Implementation of Dynamic Manipulation with Visual Feedback and Its
Application to Pick and Place Task - - - - - References ( 1 ) T . Omata and K . T3A -
1 13 . 40 Proceedings of the 4th IEEE International Symposium on Assembly and
Task ...
Implementation of Dynamic Manipulation with Visual Feedback and Its
Application to Pick and Place Task - - - - - References ( 1 ) T . Omata and K . T3A -
1 13 . 40 Proceedings of the 4th IEEE International Symposium on Assembly and
Task ...
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Contents
Session MIB Assembly Planning Room | 31 |
Session MIC Production System1 Room C | 61 |
Session M2A Planning Control of Manipulators Room | 92 |
Copyright | |
11 other sections not shown
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Common terms and phrases
algorithm analysis applied approach assembly automatic Automation calculated called cell combination complex components computed condition connected considered constraints coordinate corresponding cost defined described determined developed direction disassembly dynamic edge effect Engineering environment equipment error evaluation example execution experiments Figure finger flexible force function geometric given graph grasp holons IEEE initial integrated International introduced Japan joint machine manipulation manufacturing material means measured mechanical method mobile robot module motion movement moving node object obstacles obtained operation optimal orientation parameters path performed planning position possible presented problem Proceedings proposed reference region relation represented Research respectively robot rotation rules scheduling selection sensor sequence shown shows simulation solutions space specific station step structure subassembly surface Table task tion tolerance tool trajectory transition