ProceedingsIEEE Computer Society Press, 2001 - Artificial intelligence |
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Page 15
... velocity obstacle Vr Ŕ STEP 2 Fig.2 Velocity Obstacle STEP 3 within it's sensor range LSR . The condition of no col- lision within the sensor cycle is Ts < ( Ura LSR Ir max + Vo max ) ( 2 ) If a moving obstacle can accelerate with ...
... velocity obstacle Vr Ŕ STEP 2 Fig.2 Velocity Obstacle STEP 3 within it's sensor range LSR . The condition of no col- lision within the sensor cycle is Ts < ( Ura LSR Ir max + Vo max ) ( 2 ) If a moving obstacle can accelerate with ...
Page 16
... Velocity Obstacle is proposed . 4.1 Formulation of motion planning problem In the current study , motion planning is not only path planning level but also velocity planning level for more realistic application and for more performance ...
... Velocity Obstacle is proposed . 4.1 Formulation of motion planning problem In the current study , motion planning is not only path planning level but also velocity planning level for more realistic application and for more performance ...
Page 17
... velocity of robot Robot : The same time interval Fig.5 Path 1 with- out considering velocity change and distance in- dex Y Obstacle Robot : The same time interval Fig.6 Path 2 consider- ing only velocity change obstacle 1 goal maximum ...
... velocity of robot Robot : The same time interval Fig.5 Path 1 with- out considering velocity change and distance in- dex Y Obstacle Robot : The same time interval Fig.6 Path 2 consider- ing only velocity change obstacle 1 goal maximum ...
Contents
Session M1B Assembly Planning Room | 27 |
Session M1C Production System1 Room C | 61 |
Concurrent Requirement Specification for Conceptual Design of Modular Assembly Cells | 79 |
Copyright | |
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4th IEEE International air hoist algorithm applied approach Assembly and Task assembly model assembly planning assembly process assembly sequences assembly system assembly task automatic B-spline Bayesian network calculated camera cell components computed configuration constraints contact point coordinate cost defined described developed disassembly disassembly sequences dynamic environment evaluation feasible finger flexible force Fukuoka function genetic algorithm geometric holons IEEE International Symposium information entropy input Japan kinematic liaison Lie algebra machine manipulation manufacturing matrix mechanical method misalignment mobile robot module motion planning node obstacles obtained operation optimal parameters path Petri Petri net Planning Soft Research pneumatic circuit possible precedence graph problem proposed Radon transform recycling represented Robotics and Automation rotation self-organizing map sensor shown in Figure simulation Soft Research Park solutions specific step subassembly Symposium on Assembly Task Planning Soft tion trajectory vector velocity