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Page 76
parameters and controls the equipment. To control the VE, the class has methods
to receive the trap position and particle position from the optical tweezers
controller. The class also has methods to track the particle and trap positions.
parameters and controls the equipment. To control the VE, the class has methods
to receive the trap position and particle position from the optical tweezers
controller. The class also has methods to track the particle and trap positions.
Page 185
In fact, it is necessary to set the motion parameters of the tossing and catching
arm Oti,ct2,0i,p2 to fulfill 4 constraints shown above. We have Ocnt as one more
definable parameter. It is possible to optimize passing manipulation by using
Gent- ...
In fact, it is necessary to set the motion parameters of the tossing and catching
arm Oti,ct2,0i,p2 to fulfill 4 constraints shown above. We have Ocnt as one more
definable parameter. It is possible to optimize passing manipulation by using
Gent- ...
Page 303
Each workstation is therefore represented as a set of interconnected lower-level
modules e.g. units, devices, segments, etc.: WS = Parameters (ID, Type, Cost,
Description, Co- .... ordinate Frame), Interfaces (Ii, I2,...), Units ' ' (U,, Uj, ...),
Devices ...
Each workstation is therefore represented as a set of interconnected lower-level
modules e.g. units, devices, segments, etc.: WS = Parameters (ID, Type, Cost,
Description, Co- .... ordinate Frame), Interfaces (Ii, I2,...), Units ' ' (U,, Uj, ...),
Devices ...
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Contents
Microassembly Microfactory | 1 |
Microassembly and Microfactory | 2 |
Process Planning | 24 |
Copyright | |
7 other sections not shown
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Common terms and phrases
actuator applied approach Assembly and Task assembly model assembly operation assembly planning assembly process assembly sequence assembly system assembly tasks axis B-spline batch blocks C-space cell cleanroom components computation configuration configuration space considered contact angle cost cycle defined deflexions developed device disassembly sequence duo-bi environment equation equipment evaluation Figure flexible genetic algorithm geometric gripper HACCP haptic heuristic holons hypergraph IEEE International Symposium industrial industrial robot integrated interface linear manipulation mechanism metaheuristic method micro micro-motor microfactory motion node obtained optical tweezers optimal paper parameters path planning performance Petri nets piezoelectric placement position precedence graphs problem Proc proposed PVDF representation represented Robotics and Automation rotation scheduling sensor simulation solution space sub tour sub-bins subassemblies surface Symposium on Assembly Task Planning Besancon Technology tion tolerancing torque trajectory transition virtual voxels workstation
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 |