Name
Abstract | ||
|---|---|---|
The implementation of an Artificial Neural Network(ANN) based power grasp controller is discussed. Multiplepoints of contact between the grasped object andfinger surfaces characterize power grasps and result inhighly stable grasps. However, modeling is especiallydifficult because of the nature of the contacts and theresulting closed kinematic structure.Linear programming was used to train an ANN tocontrol the force distribution for objects using a modelof the DIGITS Grasping System.... |
Year | DOI | Venue |
|---|---|---|
1991 | 10.1109/ROBOT.1991.131674 | ICRA |
Keywords | Field | DocType |
neural nets,robots,linear programming,artificial neural networks,kinematics,neural networks,linear program,artificial neural network,robot control | Control theory,Nonlinear system,Kinematics,GRASP,Control theory,Computer science,Control engineering,Linear programming,Normal force,Artificial neural network,Robot | Conference |
Volume | Issue | Citations |
1991 | 1 | 10 |
PageRank | References | Authors |
1.33 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| David E. Orin | 1 | 454 | 52.19 |
| Stanley C. Ahalt | 2 | 435 | 54.14 |
| Stanley C. Ahalt | 3 | 435 | 54.14 |
| Khalid Mirza | 4 | 18 | 3.19 |