ProceedingsIEEE Computer Society Press, 2001 - Artificial intelligence |
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Page 171
In other words , the automatic assembly system itself will inevitably reach a given
complexity level , such that the components within it should not contribute to raise
it even further . The users ' acquisition of knowledge and competence must ...
In other words , the automatic assembly system itself will inevitably reach a given
complexity level , such that the components within it should not contribute to raise
it even further . The users ' acquisition of knowledge and competence must ...
Page 220
AUTOMATIC DETERMINATION OF TRANSITION MATRICES IN OPTIMAL
DISASSEMBLY SEQUENCE GENERATION ... a method to automatically derive
all the feasible subassemblies and transitions between them from assembly
drawings .
AUTOMATIC DETERMINATION OF TRANSITION MATRICES IN OPTIMAL
DISASSEMBLY SEQUENCE GENERATION ... a method to automatically derive
all the feasible subassemblies and transitions between them from assembly
drawings .
Page 424
1 Transition of the live - line maintenance robot Phase I ( Manual ) ELSA Phase II
( Fully automatic ) Phase I ( Semi - automatic ) Introduced since 1996 Safe Under
development Fig . 2 Manually operated robot - Phase I Safe Introduced since ...
1 Transition of the live - line maintenance robot Phase I ( Manual ) ELSA Phase II
( Fully automatic ) Phase I ( Semi - automatic ) Introduced since 1996 Safe Under
development Fig . 2 Manually operated robot - Phase I Safe Introduced since ...
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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