ProceedingsIEEE Computer Society Press, 2001 - Artificial intelligence |
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Page 5
6 and C2 = 0 , 4 : ( a ) R . Reime and Rdist averaged over ten thousand learning
steps ( b ) bi , b2 and bz ( c ) The trajectory obtained deterministically after
learning { b } } ( i = 1 , 2 , 3 ) two hundred thousand times Fig . 5 Results of
experiment II ...
6 and C2 = 0 , 4 : ( a ) R . Reime and Rdist averaged over ten thousand learning
steps ( b ) bi , b2 and bz ( c ) The trajectory obtained deterministically after
learning { b } } ( i = 1 , 2 , 3 ) two hundred thousand times Fig . 5 Results of
experiment II ...
Page 92
Generation and Optimality of Trajectory Described by B - Spline Chang - Jun Lin '
, Hiroaki Ozaki ' , Hua Qiu ? and Tetsuji Shimogawa ' Dept . of Mechanical
Engineering , Fukuoka University , Fukuoka 814 - 0180 , Japan - Dept . of
Mechanical ...
Generation and Optimality of Trajectory Described by B - Spline Chang - Jun Lin '
, Hiroaki Ozaki ' , Hua Qiu ? and Tetsuji Shimogawa ' Dept . of Mechanical
Engineering , Fukuoka University , Fukuoka 814 - 0180 , Japan - Dept . of
Mechanical ...
Page 113
Table 1 : X : percentage of rounding ; grey background : trajectory between these
points is tested for collision ; the cases shown on the left correspond to the path
consisting of 5 points shown in Fig . 9 000 00xke . . oxokeoxx Cili i + 1 nc C nc ...
Table 1 : X : percentage of rounding ; grey background : trajectory between these
points is tested for collision ; the cases shown on the left correspond to the path
consisting of 5 points shown in Fig . 9 000 00xke . . oxokeoxx Cili i + 1 nc C nc ...
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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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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