ProceedingsIEEE Computer Society Press - Computer integrated manufacturing systems |
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Page 13
The robot must surely reach desired point even in the dynamical environment
where many people (obstacles) are moving. In such situation that the
environmental objects are dynamically changing it's position, it is not realistic to
have all ...
The robot must surely reach desired point even in the dynamical environment
where many people (obstacles) are moving. In such situation that the
environmental objects are dynamically changing it's position, it is not realistic to
have all ...
Page 149
Actually, a true mover never knows the exact shape of the environment and does
not always plan an optimal path. Yet, a mover can complete the task without
planning. Creating a scheme consistenr with this fact is the main target of the
desk ...
Actually, a true mover never knows the exact shape of the environment and does
not always plan an optimal path. Yet, a mover can complete the task without
planning. Creating a scheme consistenr with this fact is the main target of the
desk ...
Page 186
Environment Object Figure 4: Signature for edges and vertices A-w 1 A-x b-X B-w
B-x b-W Figure 5: Contact pair primitives In this paper, as a practical example, we
use a problem shown in Figure 3. The object is a square and the environment ...
Environment Object Figure 4: Signature for edges and vertices A-w 1 A-x b-X B-w
B-x b-W Figure 5: Contact pair primitives In this paper, as a practical example, we
use a problem shown in Figure 3. The object is a square and the environment ...
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Contents
Monday May 282001 | 1 |
Session M1B Assembly Planning Room | 31 |
Session MIC Production Systeml RoomC | 61 |
Copyright | |
15 other sections not shown
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Common terms and phrases
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 |