ProceedingsIEEE Computer Society Press, 2001 - Artificial intelligence |
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Page 14
800A 11 , 000 dis dynamics obstacles . es assum This section describes
assumptions on mobile robot and moving obstacles . Under the assumption ,
realistic dynamical necessary condition on mobile robot is discussed . 2 . 1
Assumptions Fig ...
800A 11 , 000 dis dynamics obstacles . es assum This section describes
assumptions on mobile robot and moving obstacles . Under the assumption ,
realistic dynamical necessary condition on mobile robot is discussed . 2 . 1
Assumptions Fig ...
Page 64
Mobile robots detect the tape and moves between assembling stations . At each
station , a stop mark and an ID card is affixed beside the tape , and a mobile robot
can know the rough station position and station number . A video camera is ...
Mobile robots detect the tape and moves between assembling stations . At each
station , a stop mark and an ID card is affixed beside the tape , and a mobile robot
can know the rough station position and station number . A video camera is ...
Page 65
volume , the mobile robots left in the production line autonomously shares the
works originally assigned to the removed robot without any specific command .
The situation is the same when a mobile robot is added to the production line ...
volume , the mobile robots left in the production line autonomously shares the
works originally assigned to the removed robot without any specific command .
The situation is the same when a mobile robot is added to the production line ...
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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 | |
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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