An Adaptive Neural Network Learning-based Solution for the Inverse Kinematics of Humanoid Fingers
This paper presents an adaptive neural network learning-based solution for the inverse kinematics of humanoid fingers. For the purpose, we specify an effective finger model by considering the interphalangeal joint coordination inherent in human fingers. In order to find a proper joint combination fo...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SAGE Publishing
2014-01-01
|
| Series: | International Journal of Advanced Robotic Systems |
| Online Access: | https://doi.org/10.5772/57472 |