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(c) Fig.4 Results of experiment I, when Ci=0.6 and c2=0.4: (a) R, Romo and
averaged over ten thousand learning steps (b) b|, bj and b» (c) The trajectory
obtained deterministically after learning {bj} (j=l,2,3) two hundred thousand times
Figure ...
(c) Fig.4 Results of experiment I, when Ci=0.6 and c2=0.4: (a) R, Romo and
averaged over ten thousand learning steps (b) b|, bj and b» (c) The trajectory
obtained deterministically after learning {bj} (j=l,2,3) two hundred thousand times
Figure ...
Page 92
Generation and Optimality of Trajectory Described by B-Spline Chang- Jun Lin1 ,
Hiroaki Ozaki1 , Hua Qiu2 and Tetsuji Shimogawa1 'Dept. of Mechanical
Engineering, Fukuoka University, Fukuoka 814-0180, Japan 2 Dept. of
Mechanical ...
Generation and Optimality of Trajectory Described by B-Spline Chang- Jun Lin1 ,
Hiroaki Ozaki1 , Hua Qiu2 and Tetsuji Shimogawa1 'Dept. of Mechanical
Engineering, Fukuoka University, Fukuoka 814-0180, Japan 2 Dept. of
Mechanical ...
Page 113
8). Each pair of points (Pi, Si) has a rounded percentage associated, X=0 (no
rounding) and X=0.5 (maximum rounding). The corresponding start points are
equal Po=So, same behaves to the corresponding goal points P„=Sn- The
trajectory ...
8). Each pair of points (Pi, Si) has a rounded percentage associated, X=0 (no
rounding) and X=0.5 (maximum rounding). The corresponding start points are
equal Po=So, same behaves to the corresponding goal points P„=Sn- The
trajectory ...
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Contents
Monday May 282001 | 1 |
Session M1B Assembly Planning Room | 31 |
Session MIC Production Systeml RoomC | 61 |
Copyright | |
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4th IEEE International algorithm analysis applied approach Assembly and Task assembly model assembly planning assembly process assembly sequences assembly system assembly task automatic B-spline Bayesian network calculated camera collision components computed configuration constraints contact point coordinate cost defined deformable described developed disassembly sequences dynamic Engineering environment evaluation feasible Figure finger flexible Fukuoka function genetic algorithm geometric grasp holons IEEE International Symposium information entropy Japan liaison Lie algebra machine manipulation matrix mechanical method mobile robot module motion planning node object obstacles obtained operation optimal parameters path planning Petri nets Planning Soft Research precedence graph problem proposed Radon transform represented Robotics and Automation rotation scheduling Screw Theory selected self-organizing map sensor shown in Fig simulation Soft Research Park solutions specification station step structure subassembly Symposium on Assembly Task Planning Soft tion tool trajectory vector velocity
Bibliographic information
| Title | Proceedings |
| Author | IEEE International Symposium on Assembly and Task Planning |
| Contributors | IEEE Robotics and Automation Society, IEEE Xplore (Online service) |
| Publisher | IEEE Computer Society Press |
| Original from | the University of Michigan |
| Digitized | 11 Jan 2008 |
| Export Citation | BiBTeX EndNote RefMan |