Name
Abstract | ||
|---|---|---|
Emerging applications of robotic manipulation of deformable objects have opened up new challenges in robot control. While several control techniques have been developed to manipulate deformable objects, the performance of existing methods is commonly limited by two issues: 1) implicit assumption that the physical contact between the end-effector and the object is always maintained, and 2) requirements of exact parameters of deformation model, which are difficult to obtain. This paper presents a new control scheme for robotic manipulation of deformable objects, which allows the robot to automatically contact then actively deform the deformable object by assessing the status of deformation in real time. Instead of designing multiple controllers and switching among them, the proposed method smoothly and stably integrates two control phases (i.e. region reaching and active deforming) into a single controller. The stability of the closed-loop system is rigorously proved with the consideration of the uncertain deformation model and uncalibrated cameras. Hence, the proposed control scheme enhances the autonomous capability of active deformable object manipulation. Experimental studies are conducted with different initial conditions to demonstrate the performance of the proposed controller. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/IROS.2018.8593543 | 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) |
Keywords | Field | DocType |
uncertain deformation model,active deformable object manipulation,unified controller,soft objects,robotic manipulation,robot control,region reaching,region deforming,uncalibrated cameras,closed-loop system stability,end-effector | Computer vision,Robot control,Control theory,Computer science,Control engineering,Robot end effector,Artificial intelligence,Robot vision systems,Robot | Conference |
ISSN | ISBN | Citations |
2153-0858 | 978-1-5386-8095-7 | 2 |
PageRank | References | Authors |
0.35 | 15 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wang Zerui | 1 | 47 | 6.89 |
| X. Li | 2 | 198 | 20.27 |
| David Navarro-Alarcon | 3 | 91 | 14.55 |
| Liu YH | 4 | 1540 | 185.05 |