Name
Title | ||
|---|---|---|
Classification of flexible three-fingered hand grasping pattern based on BP neural network |
Abstract | ||
|---|---|---|
In robotic application, flexible actuator is the end terminal parts. Rigid actuators are accurate but have poor security and practicability. This paper designed a new type of pneumatic dexterous hand - flexible three-fingered hand. The flexible three-fingered hand grasping pattern can be divided into griping, grasping and holding. The pattern classification of flexible three-fingered hand is designed based on the BP neural network. The network training results show that the proposed classification can determine the operation pattern of flexible three-fingered hand, according to the characteristics of the specific operating parameter vector of the target. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/ROBIO.2014.7090665 | ROBIO |
Keywords | Field | DocType |
network training,flexible three-fingered hand grasping pattern classification,neurocontrollers,operating parameter vector,pneumatic dexterous hand,pattern classification,dexterous manipulators,flexible actuator,backpropagation,actuators,flexible manipulators,rigid actuators,robotic application,vectors,bp neural network | Thumb,Control theory,Control engineering,Artificial intelligence,Engineering,Artificial neural network,Actuator | Conference |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
7 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Zhen Qian | 1 | 133 | 20.23 |
| Fang Xu | 2 | 6 | 4.39 |
| Guanjun Bao | 3 | 32 | 13.58 |
| Sheng Xu | 4 | 507 | 71.47 |
| Shibo Cai | 5 | 9 | 4.33 |
| Jianchao Zhang | 6 | 0 | 0.34 |
| Qinghua Yang | 7 | 9 | 7.82 |