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Page 63
3.1 Feedback Linearization Traditionally, the dynamic equation for a
micromanipulator with n degrees of freedom is given by H(q)q + C(q,q) + G(q) = r
- JT(q)F V = h(q) (14) where h(q) is the forward kinematics; y is the output
positions and ...
3.1 Feedback Linearization Traditionally, the dynamic equation for a
micromanipulator with n degrees of freedom is given by H(q)q + C(q,q) + G(q) = r
- JT(q)F V = h(q) (14) where h(q) is the forward kinematics; y is the output
positions and ...
Page 76
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. Furthermore, it has methods to set, get, and ...
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. Furthermore, it has methods to set, get, and ...
Page 181
On the other hand, some methods are introduced to use dynamic characteristic of
the object (rolling, sliding, and free flight) without grasping. They are called
dynamic manipulation. They are possible (a) to manipulate position and posture
of ...
On the other hand, some methods are introduced to use dynamic characteristic of
the object (rolling, sliding, and free flight) without grasping. They are called
dynamic manipulation. They are possible (a) to manipulate position and posture
of ...
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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 |