ProceedingsIEEE Computer Society Press, 2001 - Artificial intelligence |
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Page 149
Such parameters are called aspect parameters . • During operation , the robot
can observe only a limited number of aspect parameters . This de pends on the
ability of the sensor and the occlusions caused by obstacles and the manipulated
...
Such parameters are called aspect parameters . • During operation , the robot
can observe only a limited number of aspect parameters . This de pends on the
ability of the sensor and the occlusions caused by obstacles and the manipulated
...
Page 157
The parameters for the buffer capacity B change the values every time the
simulations start . The optional single element B of the parameters B is
constructed with the equation ( 1 ) by using Ln which is the maximum volume to
accumulate parts ...
The parameters for the buffer capacity B change the values every time the
simulations start . The optional single element B of the parameters B is
constructed with the equation ( 1 ) by using Ln which is the maximum volume to
accumulate parts ...
Page 285
0 , 6 , 4 , 1c , yc , 6c are camera module ' s position and orientation parameters ,
IM , YM , ZM illustrate point - marker ' s ... Parameter identification method and
motion design to identify accurate parameters will be described in the following ...
0 , 6 , 4 , 1c , yc , 6c are camera module ' s position and orientation parameters ,
IM , YM , ZM illustrate point - marker ' s ... Parameter identification method and
motion design to identify accurate parameters will be described in the following ...
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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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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