Name
Title | ||
|---|---|---|
Coordinate Transformation Learning of Hand Position Feedback Controller Based on Disturbance Noise and Feedback Error Signal |
Abstract | ||
|---|---|---|
In order to grasp an object, we need to solve the in verse kinematics problem, i.e., the coordinate transformation from the visual coordinates to the joint angle vector coordinates of the arm. In human motion control, the learning of the hand position error feedback controller in the inverse kinematics solver is important. Although several models of coordinate transformation learning have been proposed, they suffer from a number of drawbacks. This paper proposes a novel model of the coordinate transformation learning of the human visual feedback controller by using disturbance noise and feedback error signal. The feasibility of the proposed model is illustrated using numerical simulations. |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/IJCNN.2000.861483 | IJCNN (5) |
Keywords | Field | DocType |
inverse kinematics solver,hand position feedback controller,coordinate transformation learning,verse kinematics problem,disturbance noise,feedback error signal,human motion control,novel model,transformation learning,hand position error feedback,human visual feedback controller,learning artificial intelligence,arm,coordinate transformation,inverse kinematics,feedback,neurofeedback,kinematics,motion control,adaptive control,error correction,neural network,inverse problems,pediatrics,numerical simulation,motor learning | Coordinate system,Coordinate vector,Motion control,GRASP,Inverse kinematics,Feedback controller,Control theory,Computer science,Error signal,Solver | Conference |
ISSN | ISBN | Citations |
1098-7576 | 0-7695-0619-4 | 1 |
PageRank | References | Authors |
0.56 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eimei Oyama | 1 | 120 | 20.45 |
| Taro Maeda | 2 | 434 | 80.83 |
| Susumu Tachi | 3 | 1294 | 221.20 |