Name
Abstract | ||
|---|---|---|
This paper presents two novel estimation methods that are designed to enhance our ability of observing, positioning, and physically transforming the objects and/or biological structures in micromanipulation tasks. In order to effectively monitor and position the microobjects, an online calibration method with submicron precision via a recursive least square solution is presented. To provide the adequate information to manipulate the biological structures without damaging the cell or tissue during an injection, a nonlinear spring-mass-damper model is introduced and mechanical properties of a zebrafish embryo are obtained. These two methods are validated on a microassembly workstation and the results are evaluated quantitatively. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/ROBOT.2009.5152218 | ICRA |
Keywords | Field | DocType |
adequate information,novel parameter estimation scheme,square solution,novel estimation method,microassembly workstation,mechanical property,nonlinear spring-mass-damper model,submicron precision,online calibration method,micromanipulation task,biological structure,force,optical imaging,parameter estimation,embryo,nonlinear optics,control theory,embryos,force sensor,microscopy,microsystems,computer vision,look up table,vibration control,design methodology,calibration,biology | Least squares,Microsystem,Nonlinear system,Vibration control,Control theory,Workstation,Control engineering,Engineering,Estimation theory,Calibration,Recursion | Conference |
Volume | Issue | ISSN |
2009 | 1 | 1050-4729 |
ISBN | Citations | PageRank |
978-1-4244-2789-5 | 3 | 0.48 |
References | Authors | |
8 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hakan Bilen | 1 | 237 | 15.71 |
| Muhammet A. Hocaoglu | 2 | 7 | 1.62 |
| Eray A. Baran | 3 | 17 | 4.69 |
| Mustafa Ünel | 4 | 154 | 20.71 |
| Devrim Gozuacik | 5 | 3 | 0.48 |